
A study published today in Nature Communications describes how lymphatic endothelial cells assist in generating robust immune memory, offering new insights into how the immune system functions.
Specifically, the researchers found there is a particular genetic program within the lymphatic endothelial cells that enables storage and archival of portions of an immunization or pathogen (antigens) for future use.
The research is among the first to outline that there’s a genetic “transcriptional” program within lymphatic endothelial cells that impact the immune response and could be manipulated.
The study was led by researchers from the University of Colorado Anschutz, with experts in medicine, immunology and microbiology and biochemistry and molecular genetics.
“Lymphatic endothelial cells are a unique and often overlooked cell type,” said senior author Beth Tamburini, PhD, associate professor of medicine at the CU Anschutz School of Medicine. “For a long time, we didn’t fully understand the function of lymphatic endothelial cells and because of that, we underestimated the potential impact these cells have on the immune response. But we now know lymphatic endothelial cells have a distinct genetic program that plays an important role in shaping immune memory.”
Using machine learning to help understand how immune memory works
Using advanced machine learning techniques, the researchers were able to identify the genetic program – a specific set of genes and instructions that guide how these cells function. This allowed them to predict how effectively lymphatic endothelial cells can store antigens, which are the molecular “fingerprints” of viruses, bacteria or vaccines. When these cells archive an antigen, they’re essentially saving it like a memory file, helping the immune system quickly recognize and respond to future threats. This was led by Ryan Sheridan, PhD, first author and senior research instructor at the CU Anschutz RNA Biosciences Initiative.
“If we want to improve how to combat diseases, we first need to fully understand how immune memory works. A stronger understanding of the cellular programs that control lymphatic endothelial cells, can assist in developing methodology to fine-tune immune memory, making more targeted, more durable and ultimately more effective vaccines and therapies to protect against diseases,” explained Tamburini, who also serves as the immunology graduate program co-director at CU Anschutz.
To study this, Tamburini and her team used very detailed, large-scale data to better understand how the individual cells behave.
Specifically, they used single-cell RNA sequencing, which shows exactly which genes are active in each individual cell in response to immune stimuli. They also used spatial transcriptomics and analyzed genetic activity across multiple time points, giving a more dynamic view of what’s happening in the cells over time regionally.
“This study stands apart because we didn’t just take a snapshot, we followed these cells over time and actively manipulated the system to see how they respond,” said Tamburini. “By combining cutting-edge technologies with long-term analysis and experimental intervention, we were able to uncover insights that previous short-term, observational studies couldn’t. This kind of approach hasn’t really been done before in this context.”
Source – University of Colorado Anschutz
A study published today in Nature Communications describes how lymphatic endothelial cells assist in generating robust immune memory, offering new insights into how the immune system functions.
Specifically, the researchers found there is a particular genetic program within the lymphatic endothelial cells that enables storage and archival of portions of an immunization or pathogen (antigens) for future use.
The research is among the first to outline that there’s a genetic “transcriptional” program within lymphatic endothelial cells that impact the immune response and could be manipulated.
The study was led by researchers from the University of Colorado Anschutz, with experts in medicine, immunology and microbiology and biochemistry and molecular genetics.
Using machine learning to help understand how immune memory works
Using advanced machine learning techniques, the researchers were able to identify the genetic program – a specific set of genes and instructions that guide how these cells function. This allowed them to predict how effectively lymphatic endothelial cells can store antigens, which are the molecular “fingerprints” of viruses, bacteria or vaccines. When these cells archive an antigen, they’re essentially saving it like a memory file, helping the immune system quickly recognize and respond to future threats. This was led by Ryan Sheridan, PhD, first author and senior research instructor at the CU Anschutz RNA Biosciences Initiative.
To study this, Tamburini and her team used very detailed, large-scale data to better understand how the individual cells behave.
Specifically, they used single-cell RNA sequencing, which shows exactly which genes are active in each individual cell in response to immune stimuli. They also used spatial transcriptomics and analyzed genetic activity across multiple time points, giving a more dynamic view of what’s happening in the cells over time regionally.
Source – University of Colorado Anschutz
Sheridan R, Doan T, Lucas C, Forward T, Fleming I, Olsen V, Qvale A, Davenport B, Zarrella K, Harbell M, Uecker-Martin A, Morrison T, Hesselberth J, Tamburini B. (2025) A specific gene expression program underlies antigen archiving by lymphatic endothelial cells in mammalian lymph nodes. Nat Commun 16(1): 8375. [article]
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A study published today in Nature Communications describes how lymphatic endothelial cells assist in generating robust immune memory, offering new insights into how the immune system functions.
Specifically, the researchers found there is a particular genetic program within the lymphatic endothelial cells that enables storage and archival of portions of an immunization or pathogen (antigens) for future use.
The research is among the first to outline that there’s a genetic “transcriptional” program within lymphatic endothelial cells that impact the immune response and could be manipulated.
The study was led by researchers from the University of Colorado Anschutz, with experts in medicine, immunology and microbiology and biochemistry and molecular genetics.
Using machine learning to help understand how immune memory works
Using advanced machine learning techniques, the researchers were able to identify the genetic program – a specific set of genes and instructions that guide how these cells function. This allowed them to predict how effectively lymphatic endothelial cells can store antigens, which are the molecular “fingerprints” of viruses, bacteria or vaccines. When these cells archive an antigen, they’re essentially saving it like a memory file, helping the immune system quickly recognize and respond to future threats. This was led by Ryan Sheridan, PhD, first author and senior research instructor at the CU Anschutz RNA Biosciences Initiative.
To study this, Tamburini and her team used very detailed, large-scale data to better understand how the individual cells behave.
Specifically, they used single-cell RNA sequencing, which shows exactly which genes are active in each individual cell in response to immune stimuli. They also used spatial transcriptomics and analyzed genetic activity across multiple time points, giving a more dynamic view of what’s happening in the cells over time regionally.
Source – University of Colorado Anschutz
Sheridan R, Doan T, Lucas C, Forward T, Fleming I, Olsen V, Qvale A, Davenport B, Zarrella K, Harbell M, Uecker-Martin A, Morrison T, Hesselberth J, Tamburini B. (2025) A specific gene expression program underlies antigen archiving by lymphatic endothelial cells in mammalian lymph nodes. Nat Commun 16(1): 8375. [article]
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RNAmel simplifies RNA sequencing data analysis with a reproducible, integrated platform
Heart failure reshapes bone marrow to create inflammation-related immune memory
Overlooked DNA regions surrounding ‘microexons’ hold missing pieces of autism’s genetic puzzle
RiboBA improves detection of hidden protein-coding regions using ribosome profiling
An anti-senescence gene may fight spinal disc deterioration
Scientists identify the neuroblastoma cells that signal poor outcomes
Novel biosensor uses DNA ‘barcodes’ to uncover disease signals in cells
CellART extracts single-cell information from high-resolution spatial transcriptomics
Cell2space restores spatial context to single-cell RNA sequencing data
Urine test may improve bladder cancer diagnosis and guide treatment decisions
DeCoRE – a computational method to resolve RNA structural heterogeneity from RNA structure probing data by direct RNA sequencing
Tracing 700 million years of cell evolution
How should biological replicates be handled in long-read RNA sequencing?
RNA-Seq reveals a new way the developing heart controls its growth
The Human RNome Project Consortium seeks to publish first-ever complete sequence of the body’s RNA
scFlowReport brings multiple single-cell RNA sequencing analyses into one workflow
Long-read RNA sequencing reveals how neurons choose alternative RNA endings
DeOPUS improves cell-type estimates from bulk RNA sequencing
ResolVI improves accuracy in spatial transcriptomics analysis
RNA sequencing reveals transcriptional allele differences in prostate cancer stem cells
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