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DR61 DataRelease

Release Date: Frebruary 2026
New Studies: 7
Updated Studies: 2

New Studies

SDY3090: PDI-TCR reveals the dynamics and phenotypes of CD4 T cells in tuberculosis
Status: New
Description: Identifying antigen specificity in T cell receptor (TCR) sequences is challenging because of the diversity of the TCR repertoire and the complexity of TCR:antigen recognition. We developed the Peptide-Driven Identification of TCRs (PDI-TCR) assay, which combines in vitro cell expansion with peptide pools, bulk TCR sequencing, and statistical analysis to identify antigen-specific TCRs from human blood. PDI-TCR can differentiate true antigen-specific TCR clonotypes from TCRs linked to nonspecific bystander activation by comparing responses to non-overlapping peptide pools. We applied PDI-TCR to Tuberculosis (TB) patients, sampling blood at diagnosis and during treatment, as well as to Mycobacterium tuberculosis (Mtb)-sensitized healthy individuals (IGRA+). Mtb-specific T cells exhibited high diversity, with short-lived effector phenotypes only present in TB at diagnosis, while memory phenotypes were sustained throughout treatment. In contrast, expanded nonspecific T cells were more clonally restricted, displayed a cytotoxic phenotype, and persisted during treatment.
Program/Contract:
ProgramContract
Human Immunology Project Consortium (HIPC) RFA-AI-20-079 Respiratory pathogen-specific T cell signatures following vaccination, natural infection, and treatment
DOI: 10.21430/M35YWYAEUK
Subjects: 65
Study PI, contact:
NameOrganizationSite
Rashmi Tippalagama La Jolla Institute for Immunology LJI Center for Vaccine Innovation
Bjoern Peters La Jolla Institute for Immunology LJI Center for Vaccine Innovation
Julie Burel La Jolla Institute for Immunology LJI Center for Vaccine Innovation
Kerstin Westendorf La Jolla Institute for Immunology LJI Center for Vaccine Innovation
Publications:
Peptide Driven Identification of TCRs (PDI-TCR) reveals dynamics and phenotypes of CD4 T cells in tuberculosis. biorxiv May 2025. doi: https://doi.org/10.1101/2025.05.06.652535 [Pubmed: 202505.06.652535]
Peptide-driven identification of TCRs reveals dynamics and phenotypes of CD4 T cells in tuberculosis. J Immunol. Nov 2025. doi: 10.1093/jimmun/vkaf287 [Pubmed: 41241821]
Resources:
GEO study https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE293807]
GSE293807 https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE293807]
GSE301489 https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE301489]
Assays:
Assay TypeNumber of Exp. Samples
Flow Cytometry 124
scRNA-seq 132
T cell receptor repertoire sequencing assay 256
Clinical Assessments:None
Release Notes:
NA

SDY3153: Single Cell Transcriptomics and Immune Profiling in Cutaneous Lyme Disease
Status: New
Description:

The skin lesion erythema migrans (EM) is the first clinical sign of Lyme disease, an infection due to the tick-transmitted bacterium Borrelia burgdorferi (Bb). Previously we used single cell transcriptomics with B cell and T cell receptor sequencing to characterize the cutaneous immune response in the EM lesion, focusing on B cells. Here, in an expanded sample size, we profiled T cell responses in the EM lesions in comparison to autologous uninvolved skin. In addition to CD4+IFNG+ T cell subsets known to be abundant in the EM, we identified clonal expansion of CD8+GZMK+IFNG+ T cells that comprised the only T cell population with significant differential expression of interferon regulated genes. This subset included IFNG+ cells with low cytotoxic gene expression, which may promote inflammation. While FOXP3+ regulatory T cells also were increased in EM, we found that the CD4+FOXP3- effector T cell subset contained cells with the highest differential expression of IL-10. Fibroblasts, endothelial cells, and pericytes expressed a broader array of chemokines than macrophages. These studies represent the first comprehensive interrogation of the cutaneous T cell response to Bb infection using single cell transcriptomics and provide insight into the orchestration of the skin immune response to this vector-borne pathogen.

Program/Contract:
ProgramContract
Human Immunology Project Consortium (HIPC) RFA-AI-15-041 Systems Immune Profiling Of Divergent Responses To Infection (Yale)
DOI: 10.21430/M365I7LZQU
Subjects: 7
Study PI, contact:
NameOrganizationSite
Steven Kleinstein Yale University NA
Publications:None
Resources:
GSE296970, GSE296971, GSE296973 https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE296970; https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE296971; https://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE296972]
Assays:
Assay TypeNumber of Exp. Samples
B cell receptor repertoire sequencing assay 20
scRNA-seq 20
T cell receptor repertoire sequencing assay 20
Clinical Assessments:None
Release Notes:
NA

SDY3238: Immunostimulatory RNA motifs_1
Status: New
Description: Detection of foreign RNAs is a crucial activation step for innate immunity pathways in response to viral infections. Retinoic acid-inducible gene I (RIG-I) is a cytoplasmic RNA sensor that triggers type I and III interferon (IFN) expression and activates the antiviral response. The activating ligand for RIG-I has been shown to be 5’-triphosphated blunt-ended double stranded(ds) RNA, but questions remain on the molecular mechanisms for RIG-I activation during viral infections. We have previously determined that the RNA that most robustly activates RIG-I signaling during Sendai Virus (SeV) infection is a copy-back viral genome (cbVG). CbVGs contain complementary ends long predicted to form a blunt-ended dsRNA PAMP with a 5’ triphosphate, characteristic of the canonical RIG-I ligand. However, detailed folding analyses of the most prominent cbVG from SeV (cbVG 546) revealed a much more complex folding of the molecule, including a stem loop that is necessary for strong activation of the RIG-I pathway to stimulate IFN expression. This stem loop is comprised of nucleotides 70-114 of cbVG 546, and when transferred to inert RNAs, it significantly enhanced the immunostimulatory capability of the RNA. Interestingly, the removal of stem loop 70-114 from cbVG 546 severely decreased RIG-I activation even though the cbVG still contained the 5’ triphosphate and blunt-end dsRNA. It is unknown how SeV 70-114 enhanced RIG-I activity or whether other RIG-I stimulatory cbVGs contain stem loops similar to SeV 70-114. We therefore sought to determine if other viral cbVGs contain RNA stem loops that can transfer RIG-I stimulatory activity to otherwise inert RNAs and identify features of these RNA stem loops that are necessary for robust RIG-I activation. We identified multiple sequences in cbVGs from human respiratory syncytial virus (RSV) and Nipah virus (NiV) infections that can transfer RIG-I stimulatory activity to the inert X RNA from the hepatitis C virus. Through mutation of the terminal loop sequences of the cbVG-derived RNAs, we discovered that specific nucleotides in the terminal loop of the RNA are necessary for strong activation of RIG-I signaling in cells. Lastly, in vivo administration of the cbVG-derived RNA loops activated innate immune signaling pathways, suggesting their potential use as immunostimulants for vaccines and immunotherapies.
Program/Contract:
ProgramContract
Test Program Defective viral genomes in RSV pathogenesis
DOI: 10.21430/M3H49C0CP5
Subjects: 0
Study PI, contact:
NameOrganizationSite
Matthew Harckbart Washington University Washington University School of Medicine
Publications:None
Resources:
Assays:None
Clinical Assessments:None
Release Notes:
NA

SDY3385: Household Cohort Study in New Zealand
Status: New
Description: To examine transmission of and susceptibility to influenza virus in a longitudinal household cohort study in Wellington, New Zealand.
Program/Contract:
ProgramContract
CEIRR Centers of Excellence for Influenza Research and Response St. Jude Center of Excellence for Influenza Research and Response (SJCEIRR)
DOI: 10.21430/M39TNF6A3G
Subjects: 3165
Study PI, contact:
NameOrganizationSite
Paul G. Thomas Not Provided Not Provided
Meaghan O'Neill Not Provided Not Provided
Ruth Seeds Not Provided Not Provided
Nikki Turner Not Provided Not Provided
Amanda Kvalsvig Not Provided Not Provided
Tony Dowell Not Provided Not Provided
Hazel C. Dobinson Not Provided Not Provided
Micheal G. Baker Not Provided Not Provided
Annette Nesdale Not Provided Not Provided
Q. Sue Huang Not Provided Not Provided
Tineke Jennings Not Provided Not Provided
Nayyereh Aminisani Not Provided Not Provided
Peter McIntyre Not Provided Not Provided
Lauren Jelley Not Provided Not Provided
Richard J. Webby Not Provided Not Provided
Chor Ee Tan Not Provided Not Provided
Srushti Utekar Not Provided Not Provided
Michelle Balm Not Provided Not Provided
Tim Wood Not Provided Not Provided
Nhung Nghiem Not Provided Not Provided
Cameron C. Grant Not Provided Not Provided
Marc-Alain Widdowson Not Provided Not Provided
David Winter Not Provided Not Provided
Karen Daniells Not Provided Not Provided
Jemma Geoghegan Not Provided Not Provided
Publications:
Comparison of the Incidence and Risk Factors of Acute Respiratory Illness Associated With COVID-19 and Influenza: Results of the SHIVERS II, III, and IV Prospective Community Cohort Study. J Infect Dis. Aug 2025. doi: 10.1093/infdis/jiaf097 [Pubmed: 39993961]
Resources:
Not Applicable Not Applicable]
Assays:
Assay TypeNumber of Exp. Samples
Other 10226
Clinical Assessments:None
Release Notes:
NA

SDY3403: CyTOF analysis of HER2 expression in PC9 EGFR mutant NSCLC preclinical model following osimertinib treatments.
Status: New
Description: Tumours were collected 2 hour post last dose, digested to single cells and stained with platinium viability marker. The samples were barcoded with 20 plex Pd kit and stained with panel of antibodies including HER2. The samples were acquired by the CyTOF XT and live cells were gated. Tumour cells were clustered using HLA-ABC, EpCAM, pan-cytokeratin and E-cadherin. Expression of HER2 was quantified
Program/Contract:
ProgramContract
Unassigned AstraZeneca
DOI: 10.21430/M3XOEAC30E
Subjects: 19
Study PI, contact:
NameOrganizationSite
Fernando Calero Astrazeneca DISC, Cambridge Biomedical Campus UK
Adina Hughes Astrazeneca DISC, Cambridge Biomedical Campus, UK
Matthew Martin Astrazeneca DISC, Cambridge Biomedical Campus, UK
Publications:None
Resources:
Assays:
Assay TypeNumber of Exp. Samples
CyTOF 19
Clinical Assessments:None
Release Notes:
NA

SDY3408: De novo generation of SeV copy-back species
Status: New
Description: Copy-back viral genomes (cbVGs) are generated during the replication of negative-sense RNA viruses when the polymerase drops off from the genome and reattaches to the nascent strand. cbVGs have strong immunostimulatory properties and impact infection outcomes. Despite their importance, the composition and mechanisms of de novo cbVG generation and accumulation remain unclear due to challenges in obtaining cbVG-free virus stocks (clean stocks). Here, we obtained several clean stocks by independently rescuing recombinant Sendai virus (SeV) six times and verified their cleanliness through PCR, RNA sequencing, and absence of immunostimulatory activity. High multiplicity-of-infection passaging of clean stocks produced six high-MOI passaged stocks, each with distinct cbVG populations. Among them, polymerase drop-off (break) positions occurred throughout the genome, while polymerase reattachment (rejoin) positions preferentially occurring near the trailer end. Few common breaks were observed between stocks, while there was a hot rejoin region near the trailer end. In each stock, a few cbVGs species dominated and remained stable across passages, all conforming to the ‘rule of six’, regardless of length. Low-abundance cbVGs were variable across passages, indicating the continuous generation of new cbVGs, despite the stabilization of a subset of species. Intriguingly, cbVG species which originated from polymerase drop-off at or close to nucleotide 1 were present in all stocks, suggesting that cbVG species originating at the 3’ end of the genome are conserved products of SeV replication
Program/Contract:
ProgramContract
Test Program Defective viral genomes in RSV pathogenesis
Test Program Long-term impact of persistent parainfluenza virus infection
DOI: 10.21430/M3AHP0C2JC
Subjects: 0
Study PI, contact:
NameOrganizationSite
Yanling Yang Washington University Wash U
Publications:
Variable and conserved features of copy-back viral genome populations generated de novo during Sendai virus infection. J Virol. Feb 2026. doi: 10.1128/jvi.01805-25 [Pubmed: 41511081]
Resources:
Assays:None
Clinical Assessments:None
Release Notes:
NA

SDY3419: Flow Cytometry of Immune populations in tumor tissue
Status: New
Description: During the last years, it became more and more apparent that the immune system greatly affects the activity of many anticancer therapies, often resulting in enhanced therapy efficacy. The drug class of anticancer thiosemicarbazones (TSCs) has been studied in several clinical trials including a promising combination with the regularly used chemotherapy cisplatin and radiation therapy, which are both known to modulate the immune system in a favorable way. However, no investigations regarding the effect of TSCs on the anticancer immune response were conducted so far. Consequently, the aim of this study is to assess the role of the immune system in TSC activity. Our preliminary results already indicated that especially the adaptive arm of the immune system is crucial for TSC anticancer activity. Therefore, in this study, the underlying mechanisms will be elaborated in more detail. In addition, we will investigate whether the clinical combination of TSCs with cisplatin results in an even higher enhancement of the anticancer immune response. To this end, we will employ diverse high-end techniques in a translational scientific network setting. An important part of the project will be the single cell analysis by flow cytometry of immune cells either located in (TSC-treated) tumor tissue or isolated from cell co-cultures with tumor cells. To that end, the identification markers on the surface of the immune cells are labeled with specific fluorescent antibodies to divide them for their different roles and activation states. The labels of each single cell will then be excited by lasers and fluorescence intensities will be measured by the sensitive detectors of flow cytometer. This will give us an overview of the changes occurring in tumor-associated immune cells during TSC therapy. Furthermore, immune cell migration and tumor infiltration will be observed in real-time. For this purpose, a genetically modified model system will be used that possesses immune cells which can be stimulated to produce bioluminescence. For more in-depth analysis, cell culture and biochemical methods will be applied to illuminate the molecular mechanism by which TSCs modulate the immune system. The project will enable us to elucidate the, until now not investigated, role of the immune system in the anticancer activity of clinically developed TSCs, which will result in a better understanding of the mechanism of these anticancer compounds as well as enable the design of improved therapy strategies.
Program/Contract:
ProgramContract
Test Program Immune cells in thiosemicarbazone anticancer activity
DOI: 10.21430/M3BOSX974F
Subjects: 16
Study PI, contact:
NameOrganizationSite
Sonja Hager University of Vienna Medical University of Vienna
Publications:
The anticancer thiosemicarbazone triapine exerts immune-enhancing activities via immunogenic cell death induction and FAS upregulation. Exp Hematol Oncol. Aug 2025. doi: 10.1186/s40164-025-00700-0 [Pubmed: 40847419]
Resources:
Assays:
Assay TypeNumber of Exp. Samples
Flow Cytometry 16
Clinical Assessments:None
Release Notes:
NA

Updated Studies

SDY2187: Microbiome Preterm Birth DREAM Challenge
Status: Updated
Description: Globally, every year about 11% of infants are born preterm, defined as a birth prior to 37 weeks of gestation, with significant and lingering health consequences. Multiple studies have related the vaginal microbiome to preterm birth. We present a crowdsourcing approach to predict: (a) preterm or (b) early preterm birth from 9 publicly available vaginal microbiome studies representing 3,578 samples from 1,268 pregnant individuals, aggregated from raw sequences via an open-source tool, MaLiAmPi. We validated the crowdsourced models on novel datasets representing 331 samples from 148 pregnant individuals. From 318 DREAM challenge participants we received 148 and 121 submissions for our two separate prediction sub-challenges with top-ranking submissions achieving bootstrapped AUROC scores of 0.69 and 0.87, respectively. Alpha diversity, VALENCIA community state types, and composition (via phylotype relative abundance) were important features in the top performing models, most of which were tree based methods. This work serves as the foundation for subsequent efforts to translate predictive tests into clinical practice, and to better understand and prevent preterm birth.
Program/Contract:
ProgramContract
March of Dimes March of Dimes
DOI: 10.21430/M3JMMPMLSP
Subjects: 750
Study PI, contact:
NameOrganizationSite
Marina Sirota UCSF UCSF
Jonathan Golob University of Michigan March of Dimes Prematurity Research Center
Tomiko Oskotsky University of California San Francisco March of Dimes Prematurity Research Center
Alennie Roldan University of California San Francisco March of Dimes Prematurity Research Center
Alice Tang University of California San Francisco March of Dimes Prematurity Research Center
Connie Ha University of California San Francisco Benioff Center for Microbiome Medicine
Ronald Wong Stanford University March of Dimes Prematurity Research Center
Samuel Minot Fred Hutchinson Cancer Center Data Core
Gaia Andreoletti University of California San Francisco March of Dimes Prematurity Research Center
Idit Kosti University of California San Francisco March of Dimes Prematurity Research Center
Kevin Theis Wayne State University Department of Biochemistry, Microbiology, and Immunology
Sherrianne Ng Imperial College London March of Dimes Prematurity Research Center
Yun Lee Imperial College London March of Dimes Prematurity Research Center
Phillip Bennett Imperial College London March of Dimes Prematurity Research Center
David MacIntyre Imperial College London March of Dimes Prematurity Research Center
Susan Lynch University of California San Francisco Benioff Center for Microbiome Medicine
Roberto Romero National Institutes of Health Perinatology Research Branch
Adi Tarca Wayne State University Perinatology Research Branch
David Stevenson Stanford University Center for Academic Medicine
Nima Aghaeepour Stanford University March of Dimes Prematurity Research Center
Marina Sirota University of California San Francisco March of Dimes Prematurity Research Center
Publications:
None. None None None. doi: None [Pubmed: 36993193]
Microbiome preterm birth DREAM challenge: Crowdsourcing machine learning approaches to advance preterm birth research.. Cell reports. Medicine Jan 2024. doi: 10.1016/j.xcrm.2023.101350 [Pubmed: 38134931]
Benchmarking large language models for predictive modeling in biomedical research with a focus on reproductive health. Cell Reports Medicine February 2026. doi: 10.1016/j.xcrm.2026.102594 [Pubmed: 41707656]
Resources:
RShiny app http://vmapapp.org]
VMAP Code https://github.com/msirota/vmap.git]
dbGaP https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs001739.v1.p1]
PRJNA430482 (MOMS-PI) https://www.ncbi.nlm.nih.gov/bioproject/?term=PRJNA430482]
PRJNA242473 (UM) https://www.ncbi.nlm.nih.gov/bioproject/?term=PRJNA242473]
PRJNA393472 (Stanford) https://www.ncbi.nlm.nih.gov/bioproject/?term=PRJNA393472]
PRJNA294119 (WUSM) https://www.ncbi.nlm.nih.gov/bioproject/?term=PRJNA294119]
PRJEB11895 (CUMICRO) https://www.ebi.ac.uk/ena/browser/view/PRJEB11895]
PRJEB12577 (CUMICRO) https://www.ebi.ac.uk/ena/browser/view/PRJEB12577]
PRJEB21325 (CUMICRO) https://www.ebi.ac.uk/ena/browser/view/PRJEB21325]
PRJEB30642 (CUMICRO) https://www.ebi.ac.uk/ena/browser/view/PRJEB30642]
ImmPort SDY465 https://www.immport.org/shared/study/SDY465]
README and Dictionary for data files https://www.synapse.org/#!Synapse:syn26133770/wiki/618025]
Assays:None
Clinical Assessments:None
Release Notes:
A new publication has been added.

SDY2507: Strategy to Prevent the Onset of Clinically-Apparent Rheumatoid Arthritis (StopRA) - ARA08
Status: Updated
Description: Rheumatoid arthritis (RA) is a systemic autoimmune inflammatory disease that affects ~1% of the population, making it one of the most common chronic autoimmune diseases. The hallmark of RA is synovial inflammation (synovitis) that leads to joint destruction. RA primarily affects the joints, with small joints being the primary joints involved; however, multiple other systems including respiratory tract (e.g. interstitial lung disease), cardiovascular system (e.g. myocardial infarction) and bones (e.g. osteoporosis) can be affected. Recent studies have shown that there are markers in the blood called 'autoantibodies' that precede the onset of joint symptoms of RA. Antibodies are commonly made in the blood to fight infections. Sometimes, these antibodies attack one's own body. These are called autoantibodies. The autoantibody known as anti-CCP3 is specific for RA and may predict the development of RA in the future, especially if the level of anti-CCP3 is high. Hydroxychloroquine (HCQ) has been used successfully and safely in the treatment of malaria, lupus and RA. The objective of this study is to determine whether treatment with HCQ in individuals with elevations of anti-CCP3 without joint inflammation may help prevent the future onset of RA. This is a phase 2 multi-center, randomized, placebo-controlled, double-blind, clinical trial to evaluate the effectiveness and safety of intervention with a 12-month course of HCQ to prevent the future onset of clinically-apparent RA
Program/Contract:
ProgramContract
Autoimmunity Centers of Excellence (ACE), Basic Research Program RFA-AI-18-002 Molecular Regulation Of B Cells And T Cells In Human Sle Emory Autoimmunity Center of Excellence (ACE)
Test Program Colorado Autoimmunity Center of Excellence
DOI: 10.21430/M3H5058PJ3
Subjects: 252
Study PI, contact:
NameOrganizationSite
Kevin Deane Division of Rheumatology University of Colorado School of Medicine University of Colorado School of Medicine
Michael Holers Division of Rheumatology University of Colorado School of Medicine University of Colorado School of Medicine
Christopher Striebich Division of Rheumatology University of Colorado School of Medicine University of Colorado School of Medicine
Publications:None
Resources:
clinicaltrials.gov https://clinicaltrials.gov/study/NCT02603146]
Assays:None
Clinical Assessments:None
Release Notes:
The study title and study personnel have been updated.