Evidence map›Paper›PMID 33654745›Full record

ArticleBio-protocol2020

ChIP-Seq from Limited Starting Material of K562 Cells and

Junaid Akhtar, Piyush More, Steffen Albrecht

Abstract read
In one paragraph

Article in Bio-protocol, 2020. 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
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.

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

3 authors.

Junaid AkhtarInstitute of Developmental Biology and Neurobiology, University of Mainz, Hanns-Dieter-Hsch Weg 15, 55128 Mainz, Germany.
Piyush MoreDepartment of Pharmacology, University Medical Center, Johannes Gutenberg University of Mainz, 55131 Mainz, Germany.
Steffen AlbrechtFaculty of Biology, Johannes Gutenberg University Mainz, Hans-Dieter-Hsch-Weg 15, 55128, Mainz, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chromatin immunoprecipitation is extensively used to investigate the epigenetic profile and transcription factor binding sites in the genome. However, when the starting material is limited, the conventional ChIP-Seq approach cannot be implemented. This protocol describes a method that can be used to generate the chromatin profiles from as low as 100 human or 1,000

Indexed as

Easy workflowHigh reproducibilityHigh Signal-to-Noise ratioLow Input ChIP-SeqTagmentation

Identifiers

PMID33654745
PMCPMC7842548

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.