Evidence map›Paper›PMID 40155863›Full record

ArticleBMC genomics2025

Copy number normalization distinguishes differential signals driven by copy number differences in ATAC-seq and ChIP-seq.

Dingwen Su, Moritz Peters, Volker Soltys, Yingguang Frank Chan

Abstract read
In one paragraph

Article in BMC genomics, 2025. 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. Article
  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

4 authors.

Dingwen SuFriedrich Miescher Laboratory of the Max Planck Society, Tübingen, 72076, Germany. dingwen.su@tuebingen.mpg.de.
Moritz PetersFriedrich Miescher Laboratory of the Max Planck Society, Tübingen, 72076, Germany.
Volker SoltysFriedrich Miescher Laboratory of the Max Planck Society, Tübingen, 72076, Germany.
Yingguang Frank ChanFriedrich Miescher Laboratory of the Max Planck Society, Tübingen, 72076, Germany. frank.chan@rug.nl.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A common objective across ATAC-seq and ChIP-seq analyses is to identify differential signals across contrasted conditions. However, in differential analyses, the impact of copy number variation is often overlooked. Here, we demonstrated copy number differences among samples could drive, if not dominate, differential signals. To address this, we propose a pipeline featuring copy number normalization. By comparing the averaged signal per gene copy, it effectively segregates differential signals driven by copy number from other factors. Further applying it to Down syndrome unveiled distinct dosage-dependent and -independent changes on chromosome 21. Thus, we recommend copy number normalization as a general approach.

Indexed as

Chromatin Immunoprecipitation SequencingDNA Copy Number VariationsChromosomes, Human, Pair 21Down SyndromeHigh-Throughput Nucleotide SequencingHumansAneuploidyATAC-seqChIP-seqCopy number normalizationCopy number variationDifferential analysisDosage effectsDown syndrome

Identifiers

PMID40155863
PMCPMC11951689

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.