Evidence map›Paper›PMID 37908367›Full record

ArticleFrontiers in immunology2023

Using single-cell chromatin accessibility sequencing to characterize CD4+ T cells from murine tissues.

Kathrin Luise Braband, Annekathrin Silvia Nedwed, Sara Salome Helbich, Malte Simon, Niklas Beumer, Benedikt Brors, Federico Marini, Michael Delacher

Abstract read
In one paragraph

Article in Frontiers in immunology, 2023. 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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Article
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

8 authors.

Kathrin Luise BrabandInstitute of Immunology, University Medical Center Mainz, Mainz, Germany.
Annekathrin Silvia NedwedInstitute of Medical Biostatistics, Epidemiology and Informatics (IMBEI), University Medical Center Mainz, Mainz, Germany.
Sara Salome HelbichInstitute of Immunology, University Medical Center Mainz, Mainz, Germany.
Malte SimonFaculty of Biosciences, Heidelberg University, Heidelberg, Germany.
Niklas BeumerFaculty of Biosciences, Heidelberg University, Heidelberg, Germany.
Benedikt BrorsDivision of Applied Bioinformatics, German Cancer Research Center (DKFZ), Heidelberg, Germany.
Federico MariniResearch Center for Immunotherapy (FZI), University Medical Center Mainz, Mainz, Germany.
Michael DelacherInstitute of Immunology, University Medical Center Mainz, Mainz, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Assay for Transposase-Accessible Chromatin using sequencing (ATAC-seq) is a cutting-edge technology that enables researchers to assess genome-wide chromatin accessibility and to characterize cell type specific gene-regulatory programs. Recent technological progress allows for using this technology also on the single-cell level. In this article, we describe the whole value chain from the isolation of T cells from murine tissues to a complete bioinformatic analysis workflow. We start with methods for isolating scATAC-seq-ready CD4+ T cells from murine tissues such as visceral adipose tissue, skin, colon, and secondary lymphoid tissues such as the spleen. We describe the preparation of nuclei and quality control parameters during library preparation. Based on publicly available sequencing data that was generated using these protocols, we describe a step-by-step bioinformatic analysis pipeline for data pre-processing and downstream analysis. Our analysis workflow will follow the R-based bioinformatics framework ArchR, which is currently well established for scATAC-seq datasets. All in all, this work serves as a one-stop shop for generating and analyzing chromatin accessibility landscapes in T cells.

Indexed as

CD4-Positive T-LymphocytesChromatinAnimalsCell NucleusChromatin Immunoprecipitation SequencingGenomeMiceChromatinArchRscATAC-seqSignacT cell isolationtissue digestion

Identifiers

PMID37908367
PMCPMC10613658

What OpenQuestion holds

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Registered trials

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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.