Evidence map›Paper›PMID 35937930›Full record

ArticleBio-protocol2022

HaloChIP-seq for Antibody-Independent Mapping of Mouse Transcription Factor Cistromes

Ann Louise Hunter, Antony D Adamson, Toryn M Poolman, Magdalena Grudzien, Andrew S I Loudon, David W Ray, David A Bechtold

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Bio-protocol, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 93% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

7 authors at 3 institutions in 1 country.

Ann Louise HunterCentre for Biological Timing, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, M13 9PT, United Kingdom.
Antony D AdamsonGenome Editing Unit, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, M13 9PT, United Kingdom.
Toryn M PoolmanOxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, OX3 7LE, United Kingdom.
Magdalena GrudzienCentre for Biological Timing, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, M13 9PT, United Kingdom.
Andrew S I LoudonCentre for Biological Timing, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, M13 9PT, United Kingdom.
David W RayOxford Centre for Diabetes, Endocrinology and Metabolism, University of Oxford, Oxford, OX3 7LE, United Kingdom.
David A BechtoldCentre for Biological Timing, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, M13 9PT, United Kingdom.
University of Manchester · GBOxford Centre for Diabetes, Endocrinology and Metabolism · GBUniversity of Oxford · GB

Funding

Medical Research Council MR/N021479/1Medical Research Council MR/P00279X/1Medical Research Council MR/P011853/1Medical Research Council MR/P023576/1Medical Research Council MR/W019000/1
6 · The paper itself

Abstract

Chromatin immunoprecipitation (ChIP) maps, on a genome-wide scale, transcription factor binding sites, and the distribution of other chromatin-associated proteins and their modifications. As such, it provides valuable insights into mechanisms of gene regulation. However, successful ChIP experiments are dependent on the availability of a high-quality antibody against the target of interest. Using antibodies with poor sensitivity and specificity can yield misleading results. This can be partly circumvented by using epitope-tagged systems (

Indexed as

ChIPFusion proteinHaloTag ®NR1D1Nuclear receptorTag

Identifiers

PMID35937930
PMCPMC9303821
OpenAlexW4285250863

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.