Evidence map›Paper›PMID 37166672›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2023

Methods to Study RNA-Chromatin Interactions.

Kiran Sriram, Yingjun Luo, Naseeb K Malhi, Aleysha T Chen, Zhen Bouman Chen

Abstract read
PubMed Publisher
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.5field-weighted citation impact, top 11% 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.

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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
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 at 2 institutions in 1 country.

Kiran SriramDepartment of Diabetes Complications and Metabolism, Arthur Riggs Diabetes Metabolism Research Institute and Beckman Research Institute, City of Hope, Duarte, CA, USA.
Yingjun LuoDepartment of Diabetes Complications and Metabolism, Arthur Riggs Diabetes Metabolism Research Institute and Beckman Research Institute, City of Hope, Duarte, CA, USA.
Naseeb K MalhiDepartment of Diabetes Complications and Metabolism, Arthur Riggs Diabetes Metabolism Research Institute and Beckman Research Institute, City of Hope, Duarte, CA, USA.
Aleysha T ChenDepartment of Diabetes Complications and Metabolism, Arthur Riggs Diabetes Metabolism Research Institute and Beckman Research Institute, City of Hope, Duarte, CA, USA.
Zhen Bouman ChenDepartment of Diabetes Complications and Metabolism, Arthur Riggs Diabetes Metabolism Research Institute and Beckman Research Institute, City of Hope, Duarte, CA, USA. zhenchen@coh.org.
City of Hope · USBeckman Research Institute

Funding

Long non-coding RNA-mediated chromatin remodeling in angiogenesisR01HL145170 · NHLBI · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI CHEN, ZHEN BOUMAN · 2019 to 2023
$2.6M
6 · The paper itself

Abstract

RNA plays a fundamental role in the organization of chromatin as well as the regulation of gene expression. Although the chromatin is pervasively attached by both coding and noncoding RNAs, the impact of these chromatin-associated RNAs (caRNAs) on gene expression and cellular functions and their underlying mechanisms have just begun to be unraveled. One approach to understand the potential mechanism of gene regulation by caRNAs is to identify the caRNA-associated genomic regions. Several groups have developed methods to capture RNA-chromatin interactions in either one RNA vs the whole genome, i.e., "one-to-all" or all RNAs vs the whole genome, i.e., "all-to-all" manner. In this chapter, we discuss several state-of-the-art methods highlighting the principles behind them, the experimental procedures, the advantages and limitations, and their applications. Our goal is to provide an overview and guide to researchers interested in exploring caRNAs using these techniques.

Indexed as

ChromatinRNA, Long NoncodingGene Expression RegulationGenomeRNARNA, UntranslatedChromatinRNARNA, Long NoncodingRNA, UntranslatedChAR-seqCHART-seqChIRP-seqChromatinChromatin-associated RNAsGRID-seqlncRNAMARGIRADICL-seqRNARNA antisense purification

Identifiers

PMID37166672
OpenAlexW4376132874

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.