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Merge pull request #9 from rnabioco/project-3
update proj-3, fix atlas links, update pubs
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# lnsc-cell-browser | ||
LNSC cell browser | ||
## lnsc-cell-browser | ||
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### Adding a new publication | ||
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* Add a new entry to pubs.yml, the only information needed for the entry is | ||
the pubmed URL which is added as the "pubmed" field | ||
* Optional links can also be added under the "links" field, | ||
this includes "github", "atlas", and "geo" | ||
* Run pre-build.R to scrape the remaining information for the publication and | ||
to update authors.yml | ||
* Rebuild site | ||
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### Adding a new cell atlas | ||
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* Add the atlas link to the associated publication listed in pubs.yml | ||
* Rebuild site | ||
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### Adding a new project | ||
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* Add project information to projects.yml | ||
* Required fields include, "title", "short", "hypothesis", and "abstract" | ||
* An optional image can also be included | ||
* Edit authors.yml to add authors to the new project | ||
* Run pre-build.R to automatically associate publications with the new project | ||
* Rebuild site | ||
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### Building site | ||
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* Remove directories from previous build (_site, .quarto) | ||
* Run pre-build.R and commit changes | ||
* Render site | ||
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@@ -44,45 +44,15 @@ Beth Tamburini: | |
to be well suited for the training and success of the graduate students and post-docs | ||
in my laboratory. | ||
image: /images/beth-tamburini.jpg | ||
Jenna Guthmiller: | ||
suffix: PhD | ||
links: | ||
publications: https://scholar.google.com/citations?user=4arwbfMAAAAJ&hl=en&oi=ao | ||
website: https://guthmillerlab.weebly.com/ | ||
email: mailto:[email protected] | ||
project: project-3 | ||
bio: My long-term scientific goals are to understand the complex interactions between | ||
pathogens and the immune response mounted against them, with the objective of | ||
identifying and developing interventions to limit global infectious disease burdens. | ||
Fitting within these goals, my independent laboratory studies how preexisting | ||
immunity influences future immune responses against rapidly evolving viruses. | ||
My major contributions to science are understanding how protective humoral immunity | ||
is generated following infection and vaccination and how vaccination can harness | ||
broadly protective humoral immunity. During my postdoctoral studies, I investigated | ||
how preexisting immunity against influenza viruses shapes the recall of memory | ||
B cells in humans. I found that in the absence of preexisting immunity against | ||
the variable epitopes of the hemagglutinin (HA) head domain, humans could recall | ||
memory B cells against broadly protective epitopes of HA. These studies identified | ||
several novel classes of broadly neutralizing antibodies and a new highly conserved | ||
epitope where HA 'anchors' itself into the viral membrane. My research also identified | ||
that the first in-human universal influenza vaccine, which is intended to circumvent | ||
preexisting antibodies, robustly induced antibodies against broadly protective | ||
epitopes, including the anchor epitope. Lastly, I identified influenza vaccination | ||
and infection in humans differentially recalled discrete memory B cell specificities, | ||
with infection recalling memory B cells primed during childhood against highly | ||
conserved, albeit non-protective antigens. Together, these studies highlight the | ||
importance of understanding how preexisting antibodies influence the generation | ||
of broadly protective immunity. | ||
image: /images/jenna-guthmiller.jpeg | ||
Jay Hesselberth: | ||
suffix: PhD | ||
links: | ||
publications: https://scholar.google.com/citations?user=EnOmNEYAAAAJ | ||
website: https://hesselberthlab.org/ | ||
email: mailto:[email protected] | ||
project: | ||
- project-3 | ||
- core-c | ||
- core-d | ||
bio: I am an RNA biochemist and computational biologist with extensive experience | ||
in developing new high- throughput methods and associated bioinformatic analysis | ||
software. My RNA biology program spans classical and modern approaches to address | ||
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@@ -102,7 +72,7 @@ Ryan Sheridan: | |
publications: https://orcid.org/0000-0003-4012-3147 | ||
website: https://github.com/sheridar | ||
email: mailto:[email protected] | ||
project: core-d | ||
project: core-c | ||
Jennifer Matsuda: | ||
suffix: PhD | ||
links: | ||
|
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--- | ||
title: A specific and portable gene expression program underlies antigen archiving by lymphatic endothelial cells | ||
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image: /images/2024-sheridan-38617225.jpg | ||
subtitle: 'PMID 38617225' | ||
date: 'April 02, 2024' | ||
categories: [Project-1, Project-2, Project-3, Core-C, 2024] | ||
about: | ||
id: about | ||
template: jolla | ||
links: | ||
- text: Pubmed | ||
icon: file-earmark | ||
href: https://pubmed.ncbi.nlm.nih.gov/38617225/ | ||
- text: PDF | ||
icon: filetype-pdf | ||
href: /docs/2024-sheridan-38617225.pdf | ||
--- | ||
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[Ryan Sheridan](https://orcid.org/0000-0003-4012-3147), Thu Doan, Cormac Lucas, Tadg Forward, Aspen Uecker-Martin, [Thomas Morrison](https://scholar.google.com/citations?user=ljkm0eMAAAAJ&hl=en&oi=ao), [Jay Hesselberth](https://scholar.google.com/citations?user=EnOmNEYAAAAJ), [Beth Tamburini](https://orcid.org/0000-0003-1991-231X) | ||
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Antigens from protein subunit vaccination traffic from the tissue to the draining lymph node, either passively via the lymph or carried by dendritic cells at the local injection site. Lymph node (LN) lymphatic endothelial cells (LEC) actively acquire and archive foreign antigens, and archived antigen can be released during subsequent inflammatory stimulus to improve immune responses. Here, we answer questions about how LECs achieve durable antigen archiving and whether there are transcriptional signatures associated with LECs containing high levels of antigen. We used single cell sequencing in dissociated LN tissue to quantify antigen levels in LEC and dendritic cell populations at multiple timepoints after immunization, and used machine learning to define a unique transcriptional program within archiving LECs that can predict LEC archiving capacity in independent data sets. Finally, we validated this modeling, showing we could predict antigen archiving from a transcriptional dataset of CHIKV infected mice and demonstrated in vivo the accuracy of our prediction. Collectively, our findings establish a unique transcriptional program in LECs that promotes antigen archiving that can be translated to other systems. |
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