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#FlowCytometry

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DartLab<p>Incredible work in this preprint by Konecny, Mage, Tyznik, Prlic, and Mair developing a 50(!) color flow cytometry panel for human immunophenotyping: </p><p><a href="https://www.biorxiv.org/content/10.1101/2023.12.14.571745v1" rel="nofollow noopener noreferrer" translate="no" target="_blank"><span class="invisible">https://www.</span><span class="ellipsis">biorxiv.org/content/10.1101/20</span><span class="invisible">23.12.14.571745v1</span></a></p><p><a href="https://med-mastodon.com/tags/FlowCytometry" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>FlowCytometry</span></a> <a href="https://med-mastodon.com/tags/immunology" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>immunology</span></a></p>
DartLab<p>Time for an <a href="https://med-mastodon.com/tags/Introduction" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Introduction</span></a></p><p>This is the mastodon account for DartLab, the Immune Monitoring and Flow Cytometry Shared Resource at the Dartmouth Cancer Center in Lebanon, New Hampshire. </p><p>We do work in <a href="https://med-mastodon.com/tags/Immunology" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Immunology</span></a>, <a href="https://med-mastodon.com/tags/FlowCytometry" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>FlowCytometry</span></a>, <a href="https://med-mastodon.com/tags/Immunotherapy" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Immunotherapy</span></a>, <a href="https://med-mastodon.com/tags/Cancer" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Cancer</span></a>, <a href="https://med-mastodon.com/tags/Autoimmunity" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>Autoimmunity</span></a>, and <a href="https://med-mastodon.com/tags/InfectiousDiseases" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>InfectiousDiseases</span></a> (including <a href="https://med-mastodon.com/tags/COVID" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>COVID</span></a>). Looking forward to connecting with other <a href="https://med-mastodon.com/tags/SharedResources" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>SharedResources</span></a> and <a href="https://med-mastodon.com/tags/CoreFacilities" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#<span>CoreFacilities</span></a>. </p><p>This account is run by <span class="h-card"><a href="https://shakedown.social/@mielcarz" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@<span>mielcarz</span></a></span> .</p>

Migrating things over from the other social media site, I wanted to share this non-complete list of 200+ papers using fluorescent antigens to assess antigen-specific #Bcells by #flowcytometry. I tried to cover a lot of labs & antigens, but I've surely missed great work. So please reach out with papers I missed as I plan to keep growing the list and maybe publish the list at some point. Thanks to everyone who helped me compile the list so far! docs.google.com/document/d/1JI

Google DocsAntigen-specific B cell References Non-complete list of papers using fluorescent antigen probes to analyze antigen-specific B cells Compiled by Justin J. Taylor with suggested additions from D. Baumjohann, J. Boonyaratanakornkit, A. Broggi, K. Bruton, C. Castellanos, C. Coelho, D. Glass, C. Hopp, J. Koenig, S. Langel, N. Mohamed,...

My #re #introduction to new folks

Hi all, I am a #ComputationalBiologist / #DataScientist at the Center for Human #Immunology, Autoimmunity, and Inflammation (CHI), National Institutes of Health, Bethesda, Maryland, USA. I am building tools to analyze data on multiple platforms, such as #CyTOF, high-parameter #FlowCytometry, and #SomaLogic. I perform analyses ranging from classical #statistics to #machine / #deeplearning.

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