Article in Science immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
2 · The registry
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
5 · Who and what money
Authors and funding
19 authors.
Maryam AbediDepartment of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA.ORCID 0000-0001-9724-9985
Priyadarshini RaiDepartment of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA.ORCID 0000-0002-5684-3993
Yeqiao ZhouInstitute for Immunology and Immune Health, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA.ORCID 0000-0002-9422-6902
Chengyang LiuInstitute for Immunology and Immune Health, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA.ORCID 0000-0001-9812-1676
Isabelle JohnsonDepartment of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA.ORCID 0009-0006-0357-6832
Aditi ChandraDepartment of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA.ORCID 0000-0002-2053-163X
Maria FasolinoDepartment of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA.
Susan RostamiInstitute for Immunology and Immune Health, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA.ORCID 0009-0004-4791-9281
Wei WangInstitute for Immunology and Immune Health, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA.ORCID 0000-0003-3344-0080
Zaw MinInstitute for Immunology and Immune Health, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA.ORCID 0000-0001-7102-653X
Yanjing LiInstitute for Immunology and Immune Health, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA.
Ming YuInstitute for Immunology and Immune Health, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA.
Atishay JayDepartment of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA.ORCID 0000-0003-3739-6726
Vung LianInstitute for Immunology and Immune Health, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA.ORCID 0009-0004-8069-3704
Michael SilvermanInstitute for Immunology and Immune Health, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA.ORCID 0000-0002-7876-4399
Klaus H KaestnerDepartment of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA.ORCID 0000-0002-1228-021X
Ali NajiInstitute for Immunology and Immune Health, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA.ORCID 0000-0002-6926-3306
Robert B FaryabiInstitute for Immunology and Immune Health, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA.ORCID 0000-0002-7931-2175
Golnaz VahediDepartment of Genetics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA 19104, USA.ORCID 0000-0002-2249-8247
Funding
Human Pancreas Analysis Program for Type 1 Diabetes - HPAP-T1DU01DK112217 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI MARK A. ATKINSON, KLAUS H KAESTNER · 2021 to 2026
$46.8M
The Human Pancreas Analysis Program for Type 2 DiabetesU01DK123594 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI Robert Babak Faryabi, KLAUS H KAESTNER · 2019 to 2026
$25.0M
3-Dimensional genomic architecture in innate lymphoid cells and allergic inflammationR01AI168240 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI HENAO-MEJIA, JORGE, VAHEDI, GOLNAZ · 2022 to 2025
$3.2M
Single-cell dissection of chromatin architecture mechanisms connecting pathologic instability and transcriptional silencingU01DA052715 · NIDA · UNIVERSITY OF PENNSYLVANIA · PI JAIN, RAJAN, JOYCE, ERIC F. · 2020 to 2024
$3.1M
Leveraging early-life microbes to prevent type 1 diabetesR01DK133453 · NIDDK · CHILDREN'S HOSP OF PHILADELPHIA · PI Michael A Silverman · 2023 to 2026
$3.1M
3D genome organization of the Ets1-Fli1 locus controls allergic responsesR01AI168136 · NIAID · UNIVERSITY OF PENNSYLVANIA · PI Jorge Henao-Mejia, Golnaz Vahedi · 2023 to 2026
$3.1M
Notch-driven Epigenetic Program of MYC and CCND1 in Triple-Negative Breast CancerR01CA230800 · NCI · UNIVERSITY OF PENNSYLVANIA · PI FARYABI, ROBERT BABAK · 2020 to 2025
$2.1M
Epigenetic Mechanisms Underpinning Mantle Cell Lymphoma Sensitivity and Resistance to Notch InhibitorsR01CA248041 · NCI · UNIVERSITY OF PENNSYLVANIA · PI Robert Babak Faryabi · 2022 to 2026
$2.1M
Dissecting transcriptomics and epigenomic signatures of immune cells in type 1 diabetesU01DK127768 · NIDDK · UNIVERSITY OF PENNSYLVANIA · PI VAHEDI, GOLNAZ, WHERRY, E. JOHN · 2020 to 2023
Type 1 diabetes (T1D) is an autoimmune disease characterized by the destruction of insulin-producing β cells in the pancreas. While current therapies focus on managing the disease, a deeper understanding of the underlying molecular mechanisms is crucial for developing disease-modifying interventions. In this study, we conducted a comprehensive analysis of gene expression and chromatin accessibility in nearly 1 million immune cells from the pancreatic lymph nodes and spleens of 43 individuals with and without T1D. We found a distinct subset of CD4 T cells specifically present in the pancreatic lymph nodes of organ donors representing the active disease stage. These cells exhibited elevated activity of
Indexed as
ChromatinDiabetes Mellitus, Type 1Lymph NodesPancreasSpleenAdultAnimalsBasic-Leucine Zipper Transcription FactorsCD4-Positive T-LymphocytesFemaleGene Expression ProfilingHumansMaleMiceMice, Inbred NODNF-kappa B p50 SubunitBACH2 protein, humanBasic-Leucine Zipper Transcription FactorsChromatinNF-kappa B p50 SubunitNFKB1 protein, human
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.
Joint profiling of gene expression and chromatin accessibility in pancreatic lymph nodes and spleens in human type 1 diabetes. · full record | OpenQuestion