Evidence map›Paper›PMID 37010301›Full record

ArticleJournal of visualized experiments : JoVE2023

Adipocyte-Specific ATAC-Seq with Adipose Tissues Using Fluorescence-Activated Nucleus Sorting.

Kyungchan Kim, Solaema Taleb, Jisun So, Jamie Wann, Hyun Cheol Roh

Abstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Uncoupling protein 1-driven Cre (bioRxiv : the preprint server for biology · 2023
    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

5 authors.

Kyungchan KimDepartment of Biochemistry and Molecular Biology, Indiana University School of Medicine.
Solaema TalebDepartment of Biochemistry and Molecular Biology, Indiana University School of Medicine.
Jisun SoDepartment of Biochemistry and Molecular Biology, Indiana University School of Medicine.
Jamie WannDepartment of Biochemistry and Molecular Biology, Indiana University School of Medicine.
Hyun Cheol RohDepartment of Biochemistry and Molecular Biology, Indiana University School of Medicine; hyunroh@iu.edu.

Funding

TRANSCRIPTIONAL REGULATION OF BEIGE ADIPOCYTE CELLULAR PLASTICITYR01DK129289 · NIDDK · INDIANA UNIVERSITY INDIANAPOLIS · PI ROH, HYUN CHEOL · 2021 to 2025
$2.1M
NIDDK NIH HHS R01 DK129289
6 · The paper itself

Abstract

Assay for transposase-accessible chromatin with high-throughput sequencing (ATAC-seq) is a robust technique that enables genome-wide chromatin accessibility profiling. This technique has been useful for understanding the regulatory mechanisms of gene expression in a range of biological processes. Although ATAC-seq has been modified for different types of samples, there have not been effective modifications of ATAC-seq methods for adipose tissues. Challenges with adipose tissues include the complex cellular heterogeneity, large lipid content, and high mitochondrial contamination. To overcome these problems, we have developed a protocol that allows adipocyte-specific ATAC-seq by employing fluorescence-activated nucleus sorting with adipose tissues from the transgenic reporter Nuclear tagging and Translating Ribosome Affinity Purification (NuTRAP) mouse. This protocol produces high-quality data with minimal wasted sequencing reads while reducing the amount of nucleus input and reagents. This paper provides detailed step-by-step instructions for the ATAC-seq method validated for the use of adipocyte nuclei isolated from mouse adipose tissues. This protocol will aid in the investigation of chromatin dynamics in adipocytes upon diverse biological stimulations, which will allow for novel biological insights.

Indexed as

Cell NucleusChromatin Immunoprecipitation SequencingAdipocytesAnimalsChromatinHigh-Throughput Nucleotide SequencingMiceSequence Analysis, DNAChromatin

Identifiers

PMID37010301
PMCPMC10985705

What OpenQuestion holds

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Registered trials

None linked

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.