Evidence map›Paper›PMID 31375813›Full record

ArticleNature biotechnology2019

Massively parallel single-cell chromatin landscapes of human immune cell development and intratumoral T cell exhaustion.

Ansuman T Satpathy, Jeffrey M Granja, Kathryn E Yost, Yanyan Qi, Francesca Meschi, Geoffrey P McDermott, Brett N Olsen, Maxwell R Mumbach, Sarah E Pierce, M Ryan Corces and 12 more

Registry-linked trialOpen access · greenAbstract read
In one paragraph

Article in Nature biotechnology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT07527247 (Using AS01 Adjuvant to Improve Immune Response in Older Adults Through Trained Immunity), which is not on this map. Cited by 640 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
640citing papers in PubMed, 1 pooled it
43.6field-weighted citation impact, top 1% of its field
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.

NCT07527247 phase2recruitingnot on this mapstarted 2025, after this paper: background citation

Using AS01 Adjuvant to Improve Immune Response in Older Adults Through Trained Immunity

TypeinterventionalSponsorSingapore General HospitalRan2025 to 2029Enrolled40ConditionsImmune System Responses and Trained Immunity After AS01 Administration, Healthy AdultArmsAS01 adjuvant (0.5 mL intramuscular), YF17D (Stamaril, Sanofi-Pasteur), Placebo (NaCl 09%, 0.5mL)
3 · Its place in the literature

Who cites it

640 citing papers in PubMed, 1 synthesis or guideline pooled it, 1,027 citations in OpenAlex.

  1. Pooled it
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  18. Unifying multimodal single-cell data with a mixture-of-expertsbioRxiv : the preprint server for biology · 2026
    Article
  19. Article
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580 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

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

22 authors at 4 institutions in 1 country.

Ansuman T SatpathyCenter for Personal Dynamic Regulomes, Stanford University School of Medicine, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-5167-537X
Jeffrey M GranjaCenter for Personal Dynamic Regulomes, Stanford University School of Medicine, Stanford, CA, USA.
Kathryn E YostCenter for Personal Dynamic Regulomes, Stanford University School of Medicine, Stanford, CA, USA.
Yanyan QiCenter for Personal Dynamic Regulomes, Stanford University School of Medicine, Stanford, CA, USA.
Francesca Meschi10x Genomics, Inc., Pleasanton, CA, USA.
Geoffrey P McDermott10x Genomics, Inc., Pleasanton, CA, USA.
Brett N Olsen10x Genomics, Inc., Pleasanton, CA, USA.
Maxwell R MumbachCenter for Personal Dynamic Regulomes, Stanford University School of Medicine, Stanford, CA, USA.
Sarah E PierceDepartment of Genetics, Stanford University School of Medicine, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-9145-9559
M Ryan CorcesCenter for Personal Dynamic Regulomes, Stanford University School of Medicine, Stanford, CA, USA.
Preyas Shah10x Genomics, Inc., Pleasanton, CA, USA.
Jason C Bell10x Genomics, Inc., Pleasanton, CA, USA.
Darisha Jhutty10x Genomics, Inc., Pleasanton, CA, USA.
Corey M Nemec10x Genomics, Inc., Pleasanton, CA, USA.
Jean Wang10x Genomics, Inc., Pleasanton, CA, USA.
Li Wang10x Genomics, Inc., Pleasanton, CA, USA.
Yifeng Yin10x Genomics, Inc., Pleasanton, CA, USA.
Paul G Giresi10x Genomics, Inc., Pleasanton, CA, USA.
Anne Lynn S ChangDepartment of Dermatology, Stanford University School of Medicine, Redwood City, CA, USA.ORCID http://orcid.org/0000-0002-2869-2147
Grace X Y Zheng10x Genomics, Inc., Pleasanton, CA, USA. grace@10xgenomics.com.ORCID http://orcid.org/0000-0002-5006-3785
William J GreenleafCenter for Personal Dynamic Regulomes, Stanford University School of Medicine, Stanford, CA, USA. wjg@stanford.edu.ORCID http://orcid.org/0000-0003-1409-3095
Howard Y ChangCenter for Personal Dynamic Regulomes, Stanford University School of Medicine, Stanford, CA, USA. howchang@stanford.edu.ORCID http://orcid.org/0000-0002-9459-4393
10X Genomics (United States) · USStanford University · USChan Zuckerberg Initiative (United States) · USHoward Hughes Medical Institute · US

Funding

PRODUCTION CENTER FOR MAPPING REGULATORY REGIONS OF THE HUMAN GENOMEUM1HG009442 · NHGRI · STANFORD UNIVERSITY · PI SNYDER, MICHAEL P. · 2017 to 2021
$20.1M
Special EquipmentP50HG007735 · NHGRI · STANFORD UNIVERSITY · PI GREENLEAF, WILLIAM JAMES · 2014 to 2018
$15.2M
Center for Personal Dynamic RegulomesRM1HG007735 · NHGRI · STANFORD UNIVERSITY · PI CHANG, HOWARD Y · 2019 to 2023
$13.8M
High Throughput DNA Sequencer UpgradeS10OD018220 · OD · STANFORD UNIVERSITY · PI COLLER, JOHN · 2014 to 2014
$596k
Single cell epigenomics in cancer immunity and immunotherapyK08CA230188 · NCI · STANFORD UNIVERSITY · PI SATPATHY, ANSUMAN · 2018 to 2020
$448k
Functional characterization of the Alzheimer's disease epigenomeK99AG059918 · NIA · STANFORD UNIVERSITY · PI CORCES, MICHAEL RYAN · 2018 to 2019
$251k
NCI NIH HHS K08 CA230188NCI NIH HHS L30 CA134161NHGRI NIH HHS P50 HG007735NHGRI NIH HHS RM1 HG007735NHGRI NIH HHS UM1 HG009442NHLBI NIH HHS L30 HL134161NIA NIH HHS K99 AG059918NIH HHS S10 OD018220
6 · The paper itself

Abstract

Understanding complex tissues requires single-cell deconstruction of gene regulation with precision and scale. Here, we assess the performance of a massively parallel droplet-based method for mapping transposase-accessible chromatin in single cells using sequencing (scATAC-seq). We apply scATAC-seq to obtain chromatin profiles of more than 200,000 single cells in human blood and basal cell carcinoma. In blood, application of scATAC-seq enables marker-free identification of cell type-specific cis- and trans-regulatory elements, mapping of disease-associated enhancer activity and reconstruction of trajectories of cellular differentiation. In basal cell carcinoma, application of scATAC-seq reveals regulatory networks in malignant, stromal and immune cells in the tumor microenvironment. Analysis of scATAC-seq profiles from serial tumor biopsies before and after programmed cell death protein 1 blockade identifies chromatin regulators of therapy-responsive T cell subsets and reveals a shared regulatory program that governs intratumoral CD8

Indexed as

Bone Marrow CellsCell LineChromatinComputer SimulationGene Expression RegulationHematopoiesisHigh-Throughput Nucleotide SequencingHumansLeukocytes, MononuclearSingle-Cell AnalysisT-LymphocytesTranscription FactorsChromatinTranscription Factors

Identifiers

PMID31375813
PMCPMC7299161
OpenAlexW2965985232

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.