/ en /news/broad-institute-launches-academic-industry-cell-imaging-consortium-speed-drug-discovery-and <span class="field field--name-title field--type-string field--label-hidden"><h1>ӳ����ý launches academic-industry cell imaging consortium to speed drug discovery and development</h1> </span> <span class="field field--name-uid field--type-entity-reference field--label-hidden"> <span>By Karen Zusi-Tran</span> </span> <span class="field field--name-created field--type-created field--label-hidden"><time datetime="2020-07-10T10:00:00-04:00" class="datetime">July 10, 2020</time> </span> <div class="hero-section container"> <div class="hero-section__row row"> <div class="hero-section__content hero-section__content_left col-6"> <div class="hero-section__breadcrumbs"> <div class="block block-layout-builder block-extra-field-blocknodenewsbreadcrumbs"> <nav class="breadcrumb" role="navigation" aria-labelledby="system-breadcrumb"> <h2 id="system-breadcrumb" class="visually-hidden">Breadcrumb</h2> <ol> <li> <a href="/">Home</a> </li> <li> <a href="/news">News</a> </li> </ol> </nav> </div> </div> <div class="hero-section__title"> <div class="block block-layout-builder block-field-blocknodenewstitle"> <span class="field field--name-title field--type-string field--label-hidden"><h1>ӳ����ý launches academic-industry cell imaging consortium to speed drug discovery and development</h1> </span> </div> </div> <div class="hero-section__description"> <div class="block block-layout-builder block-field-blocknodenewsbody"> <div class="clearfix text-formatted field field--name-body field--type-text-with-summary field--label-hidden field__item"><div class="summary-only"> <p> The Joint Undertaking in Morphological Profiling with Cell Painting aims to accelerate drug discovery and development by creating a massive dataset of cells imaged under more than 140,000 different conditions</p> </div> </div> </div> </div> <div class="hero-section__author"> <div class="block block-layout-builder block-extra-field-blocknodenewsextra-field-author-custom"> By ӳ����ý Communications </div> </div> <div class="hero-section__date"> <div class="block block-layout-builder block-field-blocknodenewscreated"> <span class="field field--name-created field--type-created field--label-hidden"><time datetime="2020-07-10T10:00:00-04:00" class="datetime">July 10, 2020</time> </span> </div> </div> </div> <div class="hero-section__right col-6"> <div class="hero-section__image"> <div class="block block-layout-builder block-field-blocknodenewsfield-image"> <div class="field field--name-field-image field--type-entity-reference field--label-hidden field__item"> <article class="media media--type-image media--view-mode-multiple-content-types-header"> <div class="field field--name-field-media-image field--type-image field--label-hidden field__item"> <picture> <source srcset="/files/styles/multiple_ct_header_desktop_xl/public/news/images/2020/CellPainting_channels.png?h=1fbe0ea6&amp;itok=Y5auTCju 1x" media="all and (min-width: 1921px)" type="image/png" width="754" height="503"> <source srcset="/files/styles/multiple_ct_header_desktop_xl/public/news/images/2020/CellPainting_channels.png?h=1fbe0ea6&amp;itok=Y5auTCju 1x" media="all and (min-width: 1601px) and (max-width: 1920px)" type="image/png" width="754" height="503"> <source srcset="/files/styles/multiple_ct_header_desktop/public/news/images/2020/CellPainting_channels.png?h=1fbe0ea6&amp;itok=Dz4Tloj_ 1x" media="all and (min-width: 1340px) and (max-width: 1600px)" type="image/png" width="736" height="520"> <source srcset="/files/styles/multiple_ct_header_laptop/public/news/images/2020/CellPainting_channels.png?h=1fbe0ea6&amp;itok=C_wEMb_c 1x" media="all and (min-width: 800px) and (max-width: 1339px)" type="image/png" width="641" height="451"> <source srcset="/files/styles/multiple_ct_header_tablet/public/news/images/2020/CellPainting_channels.png?h=1fbe0ea6&amp;itok=uRBNl7uq 1x" media="all and (min-width: 540px) and (max-width: 799px)" type="image/png" width="706" height="417"> <source srcset="/files/styles/multiple_ct_header_phone/public/news/images/2020/CellPainting_channels.png?h=1fbe0ea6&amp;itok=MRmztVmx 1x" media="all and (max-width: 539px)" type="image/png" width="499" height="294"> <img loading="eager" width="499" height="294" src="/files/styles/multiple_ct_header_phone/public/news/images/2020/CellPainting_channels.png?h=1fbe0ea6&amp;itok=MRmztVmx" alt="Human cells imaged using Cell Painting are treated with fluorescent dyes that mark different cellular components, including the nucleus, nucleoli, cytoplasmic RNA, Golgi, endoplasmic reticulum, mitochondria, actin cytoskeleton, and plasma membrane." title="Human cells imaged using Cell Painting are treated with fluorescent dyes that mark different cellular components, including the nucleus, nucleoli, cytoplasmic RNA, Golgi, endoplasmic reticulum, mitochondria, actin cytoskeleton, and plasma membrane." typeof="foaf:Image"> </picture> </div> <div class="media-caption"> <div class="media-caption__credit"> Credit: ӳ����ý of MIT and Harvard </div> <div class="media-caption__description"> Human cells imaged using Cell Painting are treated with fluorescent dyes that mark different cellular components, including the nucleus, nucleoli, cytoplasmic RNA, Golgi, endoplasmic reticulum, mitochondria, actin cytoskeleton, and plasma membrane. </div> </div> </article> </div> </div> </div> </div> </div> </div> <div class="content-section content-section_with-sidebars container"> <div class="row"> <div class="content-section__left col-2"> <div class="block block-better-social-sharing-buttons block-social-sharing-buttons-block"> <div style="display: none"><link rel="preload" 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href="/modules/contrib/better_social_sharing_buttons/assets/dist/sprites/social-icons--no-color.svg#x" /> </svg> </a> <a href="mailto:?subject=&amp;body=/taxonomy/term/946/feed" title="Share to Email" aria-label="Share to Email" class="social-sharing-buttons-button share-email" target="_blank" rel="noopener"> <svg aria-hidden="true" width="32px" height="32px" style="border-radius:100%;"> <use href="/modules/contrib/better_social_sharing_buttons/assets/dist/sprites/social-icons--no-color.svg#email" /> </svg> </a> </div> </div> </div> <div class="content-section__main col-8"> <div class="block block-layout-builder block-field-blocknodenewsbody"> <div class="clearfix text-formatted field field--name-body field--type-text-with-summary field--label-hidden field__item"><p> The <a href="/node/8518/">Imaging Platform</a> at the ӳ����ý of MIT and Harvard, together with industry and non-profit partners, has launched a new collaboration to create a massive cell-imaging dataset, displaying more than 1 billion cells responding to over 140,000 small molecules and genetic perturbations.</p> <p> This microscopy image dataset, which would represent the largest collection of cell images generated by Cell Painting, will act as a reference collection to potentially fuel efforts for discovering and developing new therapeutics.</p> <p> Twelve partners from the biotechnology and pharmaceutical industries have joined the effort, called the Joint Undertaking in Morphological Profiling with Cell Painting (JUMP-CP):&nbsp;</p> <ul> <li> Amgen</li> <li> AstraZeneca</li> <li> Bayer</li> <li> Biogen</li> <li> Eisai</li> <li> Janssen Pharmaceutica NV</li> <li> Ksilink</li> <li> Max Planck Institute of Molecular Physiology</li> <li> Merck KGaA, Darmstadt, Germany</li> <li> Pfizer Inc.</li> <li> Servier</li> <li> Takeda Pharmaceutical Company, Ltd.</li> </ul> <p> Once the image dataset is created, it will be available to consortium members for the first year, after which it will be freely available for use by the scientific community. With the complete reference dataset, potential applications include predicting a compound’s activity and toxicity in cells, matching appropriate drugs to different disease states, and more.</p> <h2> Powering drug discovery and development with images</h2> <p> When developing a new drug, the cellular pathways and systems involved in its effects are not always clear —&nbsp;a knowledge gap that can lead to unexpected side effects and delays in testing and production. Cell imaging analysis, however, can determine the underlying mechanisms at work when cells are affected by a chemical or genetic alteration.</p> <p> Cell microscopy images contain a vast amount of information about the status of the cell: whether it is diseased, how it is responding to a drug treatment, or whether a certain pathway has been disrupted, for example. These profiles can be analyzed to identify subtle cellular patterns, potentially biologically meaningful but undetectable to the human eye.</p> <p> The JUMP-CP team, led at ӳ����ý by institute scientist <a href="https://carpenterlab.broadinstitute.org/" target="_blank">Anne Carpenter</a>, will create a critical mass of this cellular imaging data to empower discoveries about cell biology that can inform drug discovery and development. The ӳ����ý will create a reference dataset of approximately 12,000 genetic perturbations in cells, while industry partners will build the dataset of cells exposed to small-molecule compounds.</p> <p> The goal is to identify the effect of each gene or compound on the cell’s shape or activity — creating a morphological atlas that researchers can reference as a baseline in their own studies. With a large reference of image-based cellular profiles, scientists could computationally compare their images to determine a drug’s likely mechanism of action or a gene variant’s impact, prior to any clinical trials in patients.</p> <p> “Ultimately, we aim to make cell images as accessible and analyzable as genomes and transcriptomes,” says Carpenter.</p> <h2> Building a reference dataset</h2> <p> The consortium will use the ӳ����ý's flagship assay, <a href="https://www.nature.com/articles/nprot.2016.105" target="_blank">Cell Painting</a>, to systematically survey cell morphology and build the reference dataset. Metrics extracted from cellular images will capture information on dozens of features to mark how the cell was affected by each chemical compound or genetic perturbation, allowing scientists to explore the underlying biology with the power of automated image analysis.</p> <p> “The planned reference dataset will let the scientific community match diseases, drugs, and genes via data science; each cell’s visual 'fingerprint' can be matched against the reference collection,” says Carpenter. “We hope this approach to drug discovery will alleviate bottlenecks in the typical pharmaceutical pipeline by allowing researchers to quickly identify the impact of drugs and genetic perturbations on cells.”</p> <p> This collaboration is funded in part by the Bits to Bytes Capital Call of the <a href="https://www.masslifesciences.com/" target="_blank">Massachusetts Life Sciences Center</a> (MLSC).</p> </div> </div> <div class="block-node-broad-tags block block-layout-builder block-field-blocknodenewsfield-broad-tags"> <div class="block-node-broad-tags__row"> <div class="block-node-broad-tags__title">Tags:</div> <div class="field field--name-field-broad-tags field--type-entity-reference field--label-hidden field__items"> <div class="field__item"><a href="/broad-tags/imaging" hreflang="en">Imaging Platform</a></div> <div class="field__item"><a href="/broad-tags/image-based-profiling" hreflang="en">Image-Based Profiling</a></div> <div class="field__item"><a href="/broad-tags/small-molecules" hreflang="en">Small Molecules</a></div> <div class="field__item"><a href="/broad-tags/news-and-media" hreflang="en">News and Media</a></div> </div> </div> </div> </div> <div class="content-section__right col-2"> <div class="block block-ctools block-entity-viewnode"> <article about="/news/broad-institute-launches-academic-industry-cell-imaging-consortium-speed-drug-discovery-and" class="node node--type-news node--promoted node--view-mode-sidebar"> <div class="node__content"> <div class="sidebar-group"> <div class="sidebar-group__content"> <div class="block block-layout-builder block-field-blocknodenewsfield-news-extra-info"> <div class="clearfix text-formatted field field--name-field-news-extra-info field--type-text-long field--label-hidden field__item"><h2> Related People</h2> <p> <a href="/node/7592/">Anne Carpenter</a><br> &nbsp;</p> <h2> Related Platforms</h2> <p> <a href="/node/8511" target="_blank">Genetic Perturbation Platform</a></p> <p> <a href="/node/8518/">Imaging Platform</a><br> &nbsp;</p> <h2> Related News</h2> <p> <a href="/node/626771"><img alt src="/files/styles/blog__557x415_/public/news/images/2020/Main-Image_Anne-Carpenter_v1.jpg" style="width: 212px; height: 158px;"></a></p> <p> <a href="/node/626771">A marriage of microscopy and machine learning</a><br> &nbsp;</p> <p> <a href="/node/20131"><img alt src="/files/styles/blog__557x415_/public/news/images/2017/Snapshot-Cell-painting_main_0.jpg" style="width: 212px; height: 158px;"></a></p> <p> <a href="/node/20131">Painting profiles of perturbation to perceive genes’ purpose</a><br> &nbsp;</p> </div> </div> </div> </div> </div> </article> </div> </div> </div> </div> Fri, 10 Jul 2020 14:00:00 +0000 kzusi@broadinstitute.org 631466 at /news/researchers-identify-molecules-rein-crispr-systems <span class="field field--name-title field--type-string field--label-hidden"><h1>ӳ����ý launches academic-industry cell imaging consortium to speed drug discovery and development</h1> </span> <span class="field field--name-uid field--type-entity-reference field--label-hidden"> <span>By Karen Zusi-Tran</span> </span> <span class="field field--name-created field--type-created field--label-hidden"><time datetime="2020-07-10T10:00:00-04:00" class="datetime">July 10, 2020</time> </span> <div class="hero-section container"> <div class="hero-section__row row"> <div class="hero-section__content hero-section__content_left col-6"> <div class="hero-section__breadcrumbs"> <div class="block block-layout-builder block-extra-field-blocknodenewsbreadcrumbs"> <nav class="breadcrumb" role="navigation" aria-labelledby="system-breadcrumb"> <h2 id="system-breadcrumb" class="visually-hidden">Breadcrumb</h2> <ol> <li> <a href="/">Home</a> </li> <li> <a href="/news">News</a> </li> </ol> </nav> </div> </div> <div class="hero-section__title"> <div class="block block-layout-builder block-field-blocknodenewstitle"> <span class="field field--name-title field--type-string field--label-hidden"><h1>ӳ����ý launches academic-industry cell imaging consortium to speed drug discovery and development</h1> </span> </div> </div> <div class="hero-section__description"> <div class="block block-layout-builder block-field-blocknodenewsbody"> <div class="clearfix text-formatted field field--name-body field--type-text-with-summary field--label-hidden field__item"><div class="summary-only"> <p> The Joint Undertaking in Morphological Profiling with Cell Painting aims to accelerate drug discovery and development by creating a massive dataset of cells imaged under more than 140,000 different conditions</p> </div> </div> </div> </div> <div class="hero-section__author"> <div class="block block-layout-builder block-extra-field-blocknodenewsextra-field-author-custom"> By ӳ����ý Communications </div> </div> <div class="hero-section__date"> <div class="block block-layout-builder block-field-blocknodenewscreated"> <span class="field field--name-created field--type-created field--label-hidden"><time datetime="2020-07-10T10:00:00-04:00" class="datetime">July 10, 2020</time> </span> </div> </div> </div> <div class="hero-section__right col-6"> <div class="hero-section__image"> <div class="block block-layout-builder block-field-blocknodenewsfield-image"> <div class="field field--name-field-image field--type-entity-reference field--label-hidden field__item"> <article class="media media--type-image media--view-mode-multiple-content-types-header"> <div class="field field--name-field-media-image field--type-image field--label-hidden field__item"> <picture> <source srcset="/files/styles/multiple_ct_header_desktop_xl/public/news/images/2020/CellPainting_channels.png?h=1fbe0ea6&amp;itok=Y5auTCju 1x" media="all and (min-width: 1921px)" type="image/png" width="754" height="503"> <source srcset="/files/styles/multiple_ct_header_desktop_xl/public/news/images/2020/CellPainting_channels.png?h=1fbe0ea6&amp;itok=Y5auTCju 1x" media="all and (min-width: 1601px) and (max-width: 1920px)" type="image/png" width="754" height="503"> <source srcset="/files/styles/multiple_ct_header_desktop/public/news/images/2020/CellPainting_channels.png?h=1fbe0ea6&amp;itok=Dz4Tloj_ 1x" media="all and (min-width: 1340px) and (max-width: 1600px)" type="image/png" width="736" height="520"> <source srcset="/files/styles/multiple_ct_header_laptop/public/news/images/2020/CellPainting_channels.png?h=1fbe0ea6&amp;itok=C_wEMb_c 1x" media="all and (min-width: 800px) and (max-width: 1339px)" type="image/png" width="641" height="451"> <source srcset="/files/styles/multiple_ct_header_tablet/public/news/images/2020/CellPainting_channels.png?h=1fbe0ea6&amp;itok=uRBNl7uq 1x" media="all and (min-width: 540px) and (max-width: 799px)" type="image/png" width="706" height="417"> <source srcset="/files/styles/multiple_ct_header_phone/public/news/images/2020/CellPainting_channels.png?h=1fbe0ea6&amp;itok=MRmztVmx 1x" media="all and (max-width: 539px)" type="image/png" width="499" height="294"> <img loading="eager" width="499" height="294" src="/files/styles/multiple_ct_header_phone/public/news/images/2020/CellPainting_channels.png?h=1fbe0ea6&amp;itok=MRmztVmx" alt="Human cells imaged using Cell Painting are treated with fluorescent dyes that mark different cellular components, including the nucleus, nucleoli, cytoplasmic RNA, Golgi, endoplasmic reticulum, mitochondria, actin cytoskeleton, and plasma membrane." title="Human cells imaged using Cell Painting are treated with fluorescent dyes that mark different cellular components, including the nucleus, nucleoli, cytoplasmic RNA, Golgi, endoplasmic reticulum, mitochondria, actin cytoskeleton, and plasma membrane." typeof="foaf:Image"> </picture> </div> <div class="media-caption"> <div class="media-caption__credit"> Credit: ӳ����ý of MIT and Harvard </div> <div class="media-caption__description"> Human cells imaged using Cell Painting are treated with fluorescent dyes that mark different cellular components, including the nucleus, nucleoli, cytoplasmic RNA, Golgi, endoplasmic reticulum, mitochondria, actin cytoskeleton, and plasma membrane. </div> </div> </article> </div> </div> </div> </div> </div> </div> <div class="content-section content-section_with-sidebars container"> <div class="row"> <div class="content-section__left col-2"> <div class="block block-better-social-sharing-buttons block-social-sharing-buttons-block"> <div style="display: none"><link rel="preload" 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href="/modules/contrib/better_social_sharing_buttons/assets/dist/sprites/social-icons--no-color.svg#x" /> </svg> </a> <a href="mailto:?subject=&amp;body=/taxonomy/term/946/feed" title="Share to Email" aria-label="Share to Email" class="social-sharing-buttons-button share-email" target="_blank" rel="noopener"> <svg aria-hidden="true" width="32px" height="32px" style="border-radius:100%;"> <use href="/modules/contrib/better_social_sharing_buttons/assets/dist/sprites/social-icons--no-color.svg#email" /> </svg> </a> </div> </div> </div> <div class="content-section__main col-8"> <div class="block block-layout-builder block-field-blocknodenewsbody"> <div class="clearfix text-formatted field field--name-body field--type-text-with-summary field--label-hidden field__item"><p> The <a href="/node/8518/">Imaging Platform</a> at the ӳ����ý of MIT and Harvard, together with industry and non-profit partners, has launched a new collaboration to create a massive cell-imaging dataset, displaying more than 1 billion cells responding to over 140,000 small molecules and genetic perturbations.</p> <p> This microscopy image dataset, which would represent the largest collection of cell images generated by Cell Painting, will act as a reference collection to potentially fuel efforts for discovering and developing new therapeutics.</p> <p> Twelve partners from the biotechnology and pharmaceutical industries have joined the effort, called the Joint Undertaking in Morphological Profiling with Cell Painting (JUMP-CP):&nbsp;</p> <ul> <li> Amgen</li> <li> AstraZeneca</li> <li> Bayer</li> <li> Biogen</li> <li> Eisai</li> <li> Janssen Pharmaceutica NV</li> <li> Ksilink</li> <li> Max Planck Institute of Molecular Physiology</li> <li> Merck KGaA, Darmstadt, Germany</li> <li> Pfizer Inc.</li> <li> Servier</li> <li> Takeda Pharmaceutical Company, Ltd.</li> </ul> <p> Once the image dataset is created, it will be available to consortium members for the first year, after which it will be freely available for use by the scientific community. With the complete reference dataset, potential applications include predicting a compound’s activity and toxicity in cells, matching appropriate drugs to different disease states, and more.</p> <h2> Powering drug discovery and development with images</h2> <p> When developing a new drug, the cellular pathways and systems involved in its effects are not always clear —&nbsp;a knowledge gap that can lead to unexpected side effects and delays in testing and production. Cell imaging analysis, however, can determine the underlying mechanisms at work when cells are affected by a chemical or genetic alteration.</p> <p> Cell microscopy images contain a vast amount of information about the status of the cell: whether it is diseased, how it is responding to a drug treatment, or whether a certain pathway has been disrupted, for example. These profiles can be analyzed to identify subtle cellular patterns, potentially biologically meaningful but undetectable to the human eye.</p> <p> The JUMP-CP team, led at ӳ����ý by institute scientist <a href="https://carpenterlab.broadinstitute.org/" target="_blank">Anne Carpenter</a>, will create a critical mass of this cellular imaging data to empower discoveries about cell biology that can inform drug discovery and development. The ӳ����ý will create a reference dataset of approximately 12,000 genetic perturbations in cells, while industry partners will build the dataset of cells exposed to small-molecule compounds.</p> <p> The goal is to identify the effect of each gene or compound on the cell’s shape or activity — creating a morphological atlas that researchers can reference as a baseline in their own studies. With a large reference of image-based cellular profiles, scientists could computationally compare their images to determine a drug’s likely mechanism of action or a gene variant’s impact, prior to any clinical trials in patients.</p> <p> “Ultimately, we aim to make cell images as accessible and analyzable as genomes and transcriptomes,” says Carpenter.</p> <h2> Building a reference dataset</h2> <p> The consortium will use the ӳ����ý's flagship assay, <a href="https://www.nature.com/articles/nprot.2016.105" target="_blank">Cell Painting</a>, to systematically survey cell morphology and build the reference dataset. Metrics extracted from cellular images will capture information on dozens of features to mark how the cell was affected by each chemical compound or genetic perturbation, allowing scientists to explore the underlying biology with the power of automated image analysis.</p> <p> “The planned reference dataset will let the scientific community match diseases, drugs, and genes via data science; each cell’s visual 'fingerprint' can be matched against the reference collection,” says Carpenter. “We hope this approach to drug discovery will alleviate bottlenecks in the typical pharmaceutical pipeline by allowing researchers to quickly identify the impact of drugs and genetic perturbations on cells.”</p> <p> This collaboration is funded in part by the Bits to Bytes Capital Call of the <a href="https://www.masslifesciences.com/" target="_blank">Massachusetts Life Sciences Center</a> (MLSC).</p> </div> </div> <div class="block-node-broad-tags block block-layout-builder block-field-blocknodenewsfield-broad-tags"> <div class="block-node-broad-tags__row"> <div class="block-node-broad-tags__title">Tags:</div> <div class="field field--name-field-broad-tags field--type-entity-reference field--label-hidden field__items"> <div class="field__item"><a href="/broad-tags/imaging" hreflang="en">Imaging Platform</a></div> <div class="field__item"><a href="/broad-tags/image-based-profiling" hreflang="en">Image-Based Profiling</a></div> <div class="field__item"><a href="/broad-tags/small-molecules" hreflang="en">Small Molecules</a></div> <div class="field__item"><a href="/broad-tags/news-and-media" hreflang="en">News and Media</a></div> </div> </div> </div> </div> <div class="content-section__right col-2"> <div class="block block-ctools block-entity-viewnode"> <article about="/news/broad-institute-launches-academic-industry-cell-imaging-consortium-speed-drug-discovery-and" class="node node--type-news node--promoted node--view-mode-sidebar"> <div class="node__content"> <div class="sidebar-group"> <div class="sidebar-group__content"> <div class="block block-layout-builder block-field-blocknodenewsfield-news-extra-info"> <div class="clearfix text-formatted field field--name-field-news-extra-info field--type-text-long field--label-hidden field__item"><h2> Related People</h2> <p> <a href="/node/7592/">Anne Carpenter</a><br> &nbsp;</p> <h2> Related Platforms</h2> <p> <a href="/node/8511" target="_blank">Genetic Perturbation Platform</a></p> <p> <a href="/node/8518/">Imaging Platform</a><br> &nbsp;</p> <h2> Related News</h2> <p> <a href="/node/626771"><img alt src="/files/styles/blog__557x415_/public/news/images/2020/Main-Image_Anne-Carpenter_v1.jpg" style="width: 212px; height: 158px;"></a></p> <p> <a href="/node/626771">A marriage of microscopy and machine learning</a><br> &nbsp;</p> <p> <a href="/node/20131"><img alt src="/files/styles/blog__557x415_/public/news/images/2017/Snapshot-Cell-painting_main_0.jpg" style="width: 212px; height: 158px;"></a></p> <p> <a href="/node/20131">Painting profiles of perturbation to perceive genes’ purpose</a><br> &nbsp;</p> </div> </div> </div> </div> </div> </article> </div> </div> </div> </div> Thu, 02 May 2019 14:57:43 +0000 kzusi@broadinstitute.org 515321 at /blog/chemist-compound-and-path-bench-bedside <span class="field field--name-title field--type-string field--label-hidden"><h1>ӳ����ý launches academic-industry cell imaging consortium to speed drug discovery and development</h1> </span> <span class="field field--name-uid field--type-entity-reference field--label-hidden"> <span>By Karen Zusi-Tran</span> </span> <span class="field field--name-created field--type-created field--label-hidden"><time datetime="2020-07-10T10:00:00-04:00" class="datetime">July 10, 2020</time> </span> <div class="hero-section container"> <div class="hero-section__row row"> <div class="hero-section__content hero-section__content_left col-6"> <div class="hero-section__breadcrumbs"> <div class="block block-layout-builder block-extra-field-blocknodenewsbreadcrumbs"> <nav class="breadcrumb" role="navigation" aria-labelledby="system-breadcrumb"> <h2 id="system-breadcrumb" class="visually-hidden">Breadcrumb</h2> <ol> <li> <a href="/">Home</a> </li> <li> <a href="/news">News</a> </li> </ol> </nav> </div> </div> <div class="hero-section__title"> <div class="block block-layout-builder block-field-blocknodenewstitle"> <span class="field field--name-title field--type-string field--label-hidden"><h1>ӳ����ý launches academic-industry cell imaging consortium to speed drug discovery and development</h1> </span> </div> </div> <div class="hero-section__description"> <div class="block block-layout-builder block-field-blocknodenewsbody"> <div class="clearfix text-formatted field field--name-body field--type-text-with-summary field--label-hidden field__item"><div class="summary-only"> <p> The Joint Undertaking in Morphological Profiling with Cell Painting aims to accelerate drug discovery and development by creating a massive dataset of cells imaged under more than 140,000 different conditions</p> </div> </div> </div> </div> <div class="hero-section__author"> <div class="block block-layout-builder block-extra-field-blocknodenewsextra-field-author-custom"> By ӳ����ý Communications </div> </div> <div class="hero-section__date"> <div class="block block-layout-builder block-field-blocknodenewscreated"> <span class="field field--name-created field--type-created field--label-hidden"><time datetime="2020-07-10T10:00:00-04:00" class="datetime">July 10, 2020</time> </span> </div> </div> </div> <div class="hero-section__right col-6"> <div class="hero-section__image"> <div class="block block-layout-builder block-field-blocknodenewsfield-image"> <div class="field field--name-field-image field--type-entity-reference field--label-hidden field__item"> <article class="media media--type-image media--view-mode-multiple-content-types-header"> <div class="field field--name-field-media-image field--type-image field--label-hidden field__item"> <picture> <source srcset="/files/styles/multiple_ct_header_desktop_xl/public/news/images/2020/CellPainting_channels.png?h=1fbe0ea6&amp;itok=Y5auTCju 1x" media="all and (min-width: 1921px)" type="image/png" width="754" height="503"> <source srcset="/files/styles/multiple_ct_header_desktop_xl/public/news/images/2020/CellPainting_channels.png?h=1fbe0ea6&amp;itok=Y5auTCju 1x" media="all and (min-width: 1601px) and (max-width: 1920px)" type="image/png" width="754" height="503"> <source srcset="/files/styles/multiple_ct_header_desktop/public/news/images/2020/CellPainting_channels.png?h=1fbe0ea6&amp;itok=Dz4Tloj_ 1x" media="all and (min-width: 1340px) and (max-width: 1600px)" type="image/png" width="736" height="520"> <source srcset="/files/styles/multiple_ct_header_laptop/public/news/images/2020/CellPainting_channels.png?h=1fbe0ea6&amp;itok=C_wEMb_c 1x" media="all and (min-width: 800px) and (max-width: 1339px)" type="image/png" width="641" height="451"> <source srcset="/files/styles/multiple_ct_header_tablet/public/news/images/2020/CellPainting_channels.png?h=1fbe0ea6&amp;itok=uRBNl7uq 1x" media="all and (min-width: 540px) and (max-width: 799px)" type="image/png" width="706" height="417"> <source srcset="/files/styles/multiple_ct_header_phone/public/news/images/2020/CellPainting_channels.png?h=1fbe0ea6&amp;itok=MRmztVmx 1x" media="all and (max-width: 539px)" type="image/png" width="499" height="294"> <img loading="eager" width="499" height="294" src="/files/styles/multiple_ct_header_phone/public/news/images/2020/CellPainting_channels.png?h=1fbe0ea6&amp;itok=MRmztVmx" alt="Human cells imaged using Cell Painting are treated with fluorescent dyes that mark different cellular components, including the nucleus, nucleoli, cytoplasmic RNA, Golgi, endoplasmic reticulum, mitochondria, actin cytoskeleton, and plasma membrane." title="Human cells imaged using Cell Painting are treated with fluorescent dyes that mark different cellular components, including the nucleus, nucleoli, cytoplasmic RNA, Golgi, endoplasmic reticulum, mitochondria, actin cytoskeleton, and plasma membrane." typeof="foaf:Image"> </picture> </div> <div class="media-caption"> <div class="media-caption__credit"> Credit: ӳ����ý of MIT and Harvard </div> <div class="media-caption__description"> Human cells imaged using Cell Painting are treated with fluorescent dyes that mark different cellular components, including the nucleus, nucleoli, cytoplasmic RNA, Golgi, endoplasmic reticulum, mitochondria, actin cytoskeleton, and plasma membrane. </div> </div> </article> </div> </div> </div> </div> </div> </div> <div class="content-section content-section_with-sidebars container"> <div class="row"> <div class="content-section__left col-2"> <div class="block block-better-social-sharing-buttons block-social-sharing-buttons-block"> <div style="display: none"><link rel="preload" 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href="/modules/contrib/better_social_sharing_buttons/assets/dist/sprites/social-icons--no-color.svg#x" /> </svg> </a> <a href="mailto:?subject=&amp;body=/taxonomy/term/946/feed" title="Share to Email" aria-label="Share to Email" class="social-sharing-buttons-button share-email" target="_blank" rel="noopener"> <svg aria-hidden="true" width="32px" height="32px" style="border-radius:100%;"> <use href="/modules/contrib/better_social_sharing_buttons/assets/dist/sprites/social-icons--no-color.svg#email" /> </svg> </a> </div> </div> </div> <div class="content-section__main col-8"> <div class="block block-layout-builder block-field-blocknodenewsbody"> <div class="clearfix text-formatted field field--name-body field--type-text-with-summary field--label-hidden field__item"><p> The <a href="/node/8518/">Imaging Platform</a> at the ӳ����ý of MIT and Harvard, together with industry and non-profit partners, has launched a new collaboration to create a massive cell-imaging dataset, displaying more than 1 billion cells responding to over 140,000 small molecules and genetic perturbations.</p> <p> This microscopy image dataset, which would represent the largest collection of cell images generated by Cell Painting, will act as a reference collection to potentially fuel efforts for discovering and developing new therapeutics.</p> <p> Twelve partners from the biotechnology and pharmaceutical industries have joined the effort, called the Joint Undertaking in Morphological Profiling with Cell Painting (JUMP-CP):&nbsp;</p> <ul> <li> Amgen</li> <li> AstraZeneca</li> <li> Bayer</li> <li> Biogen</li> <li> Eisai</li> <li> Janssen Pharmaceutica NV</li> <li> Ksilink</li> <li> Max Planck Institute of Molecular Physiology</li> <li> Merck KGaA, Darmstadt, Germany</li> <li> Pfizer Inc.</li> <li> Servier</li> <li> Takeda Pharmaceutical Company, Ltd.</li> </ul> <p> Once the image dataset is created, it will be available to consortium members for the first year, after which it will be freely available for use by the scientific community. With the complete reference dataset, potential applications include predicting a compound’s activity and toxicity in cells, matching appropriate drugs to different disease states, and more.</p> <h2> Powering drug discovery and development with images</h2> <p> When developing a new drug, the cellular pathways and systems involved in its effects are not always clear —&nbsp;a knowledge gap that can lead to unexpected side effects and delays in testing and production. Cell imaging analysis, however, can determine the underlying mechanisms at work when cells are affected by a chemical or genetic alteration.</p> <p> Cell microscopy images contain a vast amount of information about the status of the cell: whether it is diseased, how it is responding to a drug treatment, or whether a certain pathway has been disrupted, for example. These profiles can be analyzed to identify subtle cellular patterns, potentially biologically meaningful but undetectable to the human eye.</p> <p> The JUMP-CP team, led at ӳ����ý by institute scientist <a href="https://carpenterlab.broadinstitute.org/" target="_blank">Anne Carpenter</a>, will create a critical mass of this cellular imaging data to empower discoveries about cell biology that can inform drug discovery and development. The ӳ����ý will create a reference dataset of approximately 12,000 genetic perturbations in cells, while industry partners will build the dataset of cells exposed to small-molecule compounds.</p> <p> The goal is to identify the effect of each gene or compound on the cell’s shape or activity — creating a morphological atlas that researchers can reference as a baseline in their own studies. With a large reference of image-based cellular profiles, scientists could computationally compare their images to determine a drug’s likely mechanism of action or a gene variant’s impact, prior to any clinical trials in patients.</p> <p> “Ultimately, we aim to make cell images as accessible and analyzable as genomes and transcriptomes,” says Carpenter.</p> <h2> Building a reference dataset</h2> <p> The consortium will use the ӳ����ý's flagship assay, <a href="https://www.nature.com/articles/nprot.2016.105" target="_blank">Cell Painting</a>, to systematically survey cell morphology and build the reference dataset. Metrics extracted from cellular images will capture information on dozens of features to mark how the cell was affected by each chemical compound or genetic perturbation, allowing scientists to explore the underlying biology with the power of automated image analysis.</p> <p> “The planned reference dataset will let the scientific community match diseases, drugs, and genes via data science; each cell’s visual 'fingerprint' can be matched against the reference collection,” says Carpenter. “We hope this approach to drug discovery will alleviate bottlenecks in the typical pharmaceutical pipeline by allowing researchers to quickly identify the impact of drugs and genetic perturbations on cells.”</p> <p> This collaboration is funded in part by the Bits to Bytes Capital Call of the <a href="https://www.masslifesciences.com/" target="_blank">Massachusetts Life Sciences Center</a> (MLSC).</p> </div> </div> <div class="block-node-broad-tags block block-layout-builder block-field-blocknodenewsfield-broad-tags"> <div class="block-node-broad-tags__row"> <div class="block-node-broad-tags__title">Tags:</div> <div class="field field--name-field-broad-tags field--type-entity-reference field--label-hidden field__items"> <div class="field__item"><a href="/broad-tags/imaging" hreflang="en">Imaging Platform</a></div> <div class="field__item"><a href="/broad-tags/image-based-profiling" hreflang="en">Image-Based Profiling</a></div> <div class="field__item"><a href="/broad-tags/small-molecules" hreflang="en">Small Molecules</a></div> <div class="field__item"><a href="/broad-tags/news-and-media" hreflang="en">News and Media</a></div> </div> </div> </div> </div> <div class="content-section__right col-2"> <div class="block block-ctools block-entity-viewnode"> <article about="/news/broad-institute-launches-academic-industry-cell-imaging-consortium-speed-drug-discovery-and" class="node node--type-news node--promoted node--view-mode-sidebar"> <div class="node__content"> <div class="sidebar-group"> <div class="sidebar-group__content"> <div class="block block-layout-builder block-field-blocknodenewsfield-news-extra-info"> <div class="clearfix text-formatted field field--name-field-news-extra-info field--type-text-long field--label-hidden field__item"><h2> Related People</h2> <p> <a href="/node/7592/">Anne Carpenter</a><br> &nbsp;</p> <h2> Related Platforms</h2> <p> <a href="/node/8511" target="_blank">Genetic Perturbation Platform</a></p> <p> <a href="/node/8518/">Imaging Platform</a><br> &nbsp;</p> <h2> Related News</h2> <p> <a href="/node/626771"><img alt src="/files/styles/blog__557x415_/public/news/images/2020/Main-Image_Anne-Carpenter_v1.jpg" style="width: 212px; height: 158px;"></a></p> <p> <a href="/node/626771">A marriage of microscopy and machine learning</a><br> &nbsp;</p> <p> <a href="/node/20131"><img alt src="/files/styles/blog__557x415_/public/news/images/2017/Snapshot-Cell-painting_main_0.jpg" style="width: 212px; height: 158px;"></a></p> <p> <a href="/node/20131">Painting profiles of perturbation to perceive genes’ purpose</a><br> &nbsp;</p> </div> </div> </div> </div> </div> </article> </div> </div> </div> </div> Tue, 16 Apr 2019 15:50:23 +0000 tulrich@broadinstitute.org 500746 at /news/research-raises-hope-new-therapies-chordoma-rare-bone-cancer <span class="field field--name-title field--type-string field--label-hidden"><h1>ӳ����ý launches academic-industry cell imaging consortium to speed drug discovery and development</h1> </span> <span class="field field--name-uid field--type-entity-reference field--label-hidden"> <span>By Karen Zusi-Tran</span> </span> <span class="field field--name-created field--type-created field--label-hidden"><time datetime="2020-07-10T10:00:00-04:00" class="datetime">July 10, 2020</time> </span> <div class="hero-section container"> <div class="hero-section__row row"> <div class="hero-section__content hero-section__content_left col-6"> <div class="hero-section__breadcrumbs"> <div class="block block-layout-builder block-extra-field-blocknodenewsbreadcrumbs"> <nav class="breadcrumb" role="navigation" aria-labelledby="system-breadcrumb"> <h2 id="system-breadcrumb" class="visually-hidden">Breadcrumb</h2> <ol> <li> <a href="/">Home</a> </li> <li> <a href="/news">News</a> </li> </ol> </nav> </div> </div> <div class="hero-section__title"> <div class="block block-layout-builder block-field-blocknodenewstitle"> <span class="field field--name-title field--type-string field--label-hidden"><h1>ӳ����ý launches academic-industry cell imaging consortium to speed drug discovery and development</h1> </span> </div> </div> <div class="hero-section__description"> <div class="block block-layout-builder block-field-blocknodenewsbody"> <div class="clearfix text-formatted field field--name-body field--type-text-with-summary field--label-hidden field__item"><div class="summary-only"> <p> The Joint Undertaking in Morphological Profiling with Cell Painting aims to accelerate drug discovery and development by creating a massive dataset of cells imaged under more than 140,000 different conditions</p> </div> </div> </div> </div> <div class="hero-section__author"> <div class="block block-layout-builder block-extra-field-blocknodenewsextra-field-author-custom"> By ӳ����ý Communications </div> </div> <div class="hero-section__date"> <div class="block block-layout-builder block-field-blocknodenewscreated"> <span class="field field--name-created field--type-created field--label-hidden"><time datetime="2020-07-10T10:00:00-04:00" class="datetime">July 10, 2020</time> </span> </div> </div> </div> <div class="hero-section__right col-6"> <div class="hero-section__image"> <div class="block block-layout-builder block-field-blocknodenewsfield-image"> <div class="field field--name-field-image field--type-entity-reference field--label-hidden field__item"> <article class="media media--type-image media--view-mode-multiple-content-types-header"> <div class="field field--name-field-media-image field--type-image field--label-hidden field__item"> <picture> <source srcset="/files/styles/multiple_ct_header_desktop_xl/public/news/images/2020/CellPainting_channels.png?h=1fbe0ea6&amp;itok=Y5auTCju 1x" media="all and (min-width: 1921px)" type="image/png" width="754" height="503"> <source srcset="/files/styles/multiple_ct_header_desktop_xl/public/news/images/2020/CellPainting_channels.png?h=1fbe0ea6&amp;itok=Y5auTCju 1x" media="all and (min-width: 1601px) and (max-width: 1920px)" type="image/png" width="754" height="503"> <source srcset="/files/styles/multiple_ct_header_desktop/public/news/images/2020/CellPainting_channels.png?h=1fbe0ea6&amp;itok=Dz4Tloj_ 1x" media="all and (min-width: 1340px) and (max-width: 1600px)" type="image/png" width="736" height="520"> <source srcset="/files/styles/multiple_ct_header_laptop/public/news/images/2020/CellPainting_channels.png?h=1fbe0ea6&amp;itok=C_wEMb_c 1x" media="all and (min-width: 800px) and (max-width: 1339px)" type="image/png" width="641" height="451"> <source srcset="/files/styles/multiple_ct_header_tablet/public/news/images/2020/CellPainting_channels.png?h=1fbe0ea6&amp;itok=uRBNl7uq 1x" media="all and (min-width: 540px) and (max-width: 799px)" type="image/png" width="706" height="417"> <source srcset="/files/styles/multiple_ct_header_phone/public/news/images/2020/CellPainting_channels.png?h=1fbe0ea6&amp;itok=MRmztVmx 1x" media="all and (max-width: 539px)" type="image/png" width="499" height="294"> <img loading="eager" width="499" height="294" src="/files/styles/multiple_ct_header_phone/public/news/images/2020/CellPainting_channels.png?h=1fbe0ea6&amp;itok=MRmztVmx" alt="Human cells imaged using Cell Painting are treated with fluorescent dyes that mark different cellular components, including the nucleus, nucleoli, cytoplasmic RNA, Golgi, endoplasmic reticulum, mitochondria, actin cytoskeleton, and plasma membrane." title="Human cells imaged using Cell Painting are treated with fluorescent dyes that mark different cellular components, including the nucleus, nucleoli, cytoplasmic RNA, Golgi, endoplasmic reticulum, mitochondria, actin cytoskeleton, and plasma membrane." typeof="foaf:Image"> </picture> </div> <div class="media-caption"> <div class="media-caption__credit"> Credit: ӳ����ý of MIT and Harvard </div> <div class="media-caption__description"> Human cells imaged using Cell Painting are treated with fluorescent dyes that mark different cellular components, including the nucleus, nucleoli, cytoplasmic RNA, Golgi, endoplasmic reticulum, mitochondria, actin cytoskeleton, and plasma membrane. </div> </div> </article> </div> </div> </div> </div> </div> </div> <div class="content-section content-section_with-sidebars container"> <div class="row"> <div class="content-section__left col-2"> <div class="block block-better-social-sharing-buttons block-social-sharing-buttons-block"> <div style="display: none"><link rel="preload" 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href="/modules/contrib/better_social_sharing_buttons/assets/dist/sprites/social-icons--no-color.svg#x" /> </svg> </a> <a href="mailto:?subject=&amp;body=/taxonomy/term/946/feed" title="Share to Email" aria-label="Share to Email" class="social-sharing-buttons-button share-email" target="_blank" rel="noopener"> <svg aria-hidden="true" width="32px" height="32px" style="border-radius:100%;"> <use href="/modules/contrib/better_social_sharing_buttons/assets/dist/sprites/social-icons--no-color.svg#email" /> </svg> </a> </div> </div> </div> <div class="content-section__main col-8"> <div class="block block-layout-builder block-field-blocknodenewsbody"> <div class="clearfix text-formatted field field--name-body field--type-text-with-summary field--label-hidden field__item"><p> The <a href="/node/8518/">Imaging Platform</a> at the ӳ����ý of MIT and Harvard, together with industry and non-profit partners, has launched a new collaboration to create a massive cell-imaging dataset, displaying more than 1 billion cells responding to over 140,000 small molecules and genetic perturbations.</p> <p> This microscopy image dataset, which would represent the largest collection of cell images generated by Cell Painting, will act as a reference collection to potentially fuel efforts for discovering and developing new therapeutics.</p> <p> Twelve partners from the biotechnology and pharmaceutical industries have joined the effort, called the Joint Undertaking in Morphological Profiling with Cell Painting (JUMP-CP):&nbsp;</p> <ul> <li> Amgen</li> <li> AstraZeneca</li> <li> Bayer</li> <li> Biogen</li> <li> Eisai</li> <li> Janssen Pharmaceutica NV</li> <li> Ksilink</li> <li> Max Planck Institute of Molecular Physiology</li> <li> Merck KGaA, Darmstadt, Germany</li> <li> Pfizer Inc.</li> <li> Servier</li> <li> Takeda Pharmaceutical Company, Ltd.</li> </ul> <p> Once the image dataset is created, it will be available to consortium members for the first year, after which it will be freely available for use by the scientific community. With the complete reference dataset, potential applications include predicting a compound’s activity and toxicity in cells, matching appropriate drugs to different disease states, and more.</p> <h2> Powering drug discovery and development with images</h2> <p> When developing a new drug, the cellular pathways and systems involved in its effects are not always clear —&nbsp;a knowledge gap that can lead to unexpected side effects and delays in testing and production. Cell imaging analysis, however, can determine the underlying mechanisms at work when cells are affected by a chemical or genetic alteration.</p> <p> Cell microscopy images contain a vast amount of information about the status of the cell: whether it is diseased, how it is responding to a drug treatment, or whether a certain pathway has been disrupted, for example. These profiles can be analyzed to identify subtle cellular patterns, potentially biologically meaningful but undetectable to the human eye.</p> <p> The JUMP-CP team, led at ӳ����ý by institute scientist <a href="https://carpenterlab.broadinstitute.org/" target="_blank">Anne Carpenter</a>, will create a critical mass of this cellular imaging data to empower discoveries about cell biology that can inform drug discovery and development. The ӳ����ý will create a reference dataset of approximately 12,000 genetic perturbations in cells, while industry partners will build the dataset of cells exposed to small-molecule compounds.</p> <p> The goal is to identify the effect of each gene or compound on the cell’s shape or activity — creating a morphological atlas that researchers can reference as a baseline in their own studies. With a large reference of image-based cellular profiles, scientists could computationally compare their images to determine a drug’s likely mechanism of action or a gene variant’s impact, prior to any clinical trials in patients.</p> <p> “Ultimately, we aim to make cell images as accessible and analyzable as genomes and transcriptomes,” says Carpenter.</p> <h2> Building a reference dataset</h2> <p> The consortium will use the ӳ����ý's flagship assay, <a href="https://www.nature.com/articles/nprot.2016.105" target="_blank">Cell Painting</a>, to systematically survey cell morphology and build the reference dataset. Metrics extracted from cellular images will capture information on dozens of features to mark how the cell was affected by each chemical compound or genetic perturbation, allowing scientists to explore the underlying biology with the power of automated image analysis.</p> <p> “The planned reference dataset will let the scientific community match diseases, drugs, and genes via data science; each cell’s visual 'fingerprint' can be matched against the reference collection,” says Carpenter. “We hope this approach to drug discovery will alleviate bottlenecks in the typical pharmaceutical pipeline by allowing researchers to quickly identify the impact of drugs and genetic perturbations on cells.”</p> <p> This collaboration is funded in part by the Bits to Bytes Capital Call of the <a href="https://www.masslifesciences.com/" target="_blank">Massachusetts Life Sciences Center</a> (MLSC).</p> </div> </div> <div class="block-node-broad-tags block block-layout-builder block-field-blocknodenewsfield-broad-tags"> <div class="block-node-broad-tags__row"> <div class="block-node-broad-tags__title">Tags:</div> <div class="field field--name-field-broad-tags field--type-entity-reference field--label-hidden field__items"> <div class="field__item"><a href="/broad-tags/imaging" hreflang="en">Imaging Platform</a></div> <div class="field__item"><a href="/broad-tags/image-based-profiling" hreflang="en">Image-Based Profiling</a></div> <div class="field__item"><a href="/broad-tags/small-molecules" hreflang="en">Small Molecules</a></div> <div class="field__item"><a href="/broad-tags/news-and-media" hreflang="en">News and Media</a></div> </div> </div> </div> </div> <div class="content-section__right col-2"> <div class="block block-ctools block-entity-viewnode"> <article about="/news/broad-institute-launches-academic-industry-cell-imaging-consortium-speed-drug-discovery-and" class="node node--type-news node--promoted node--view-mode-sidebar"> <div class="node__content"> <div class="sidebar-group"> <div class="sidebar-group__content"> <div class="block block-layout-builder block-field-blocknodenewsfield-news-extra-info"> <div class="clearfix text-formatted field field--name-field-news-extra-info field--type-text-long field--label-hidden field__item"><h2> Related People</h2> <p> <a href="/node/7592/">Anne Carpenter</a><br> &nbsp;</p> <h2> Related Platforms</h2> <p> <a href="/node/8511" target="_blank">Genetic Perturbation Platform</a></p> <p> <a href="/node/8518/">Imaging Platform</a><br> &nbsp;</p> <h2> Related News</h2> <p> <a href="/node/626771"><img alt src="/files/styles/blog__557x415_/public/news/images/2020/Main-Image_Anne-Carpenter_v1.jpg" style="width: 212px; height: 158px;"></a></p> <p> <a href="/node/626771">A marriage of microscopy and machine learning</a><br> &nbsp;</p> <p> <a href="/node/20131"><img alt src="/files/styles/blog__557x415_/public/news/images/2017/Snapshot-Cell-painting_main_0.jpg" style="width: 212px; height: 158px;"></a></p> <p> <a href="/node/20131">Painting profiles of perturbation to perceive genes’ purpose</a><br> &nbsp;</p> </div> </div> </div> </div> </div> </article> </div> </div> </div> </div> Wed, 23 Jan 2019 16:31:03 +0000 tulrich@broadinstitute.org 446056 at