Evidence map›Paper›PMID 42608577›Full record

ArticleMolecular systems biology2026

Systematic comparison of estimates of transcription factor activity by ATAC-seq and multiplexed reporter assays.

Max Trauernicht, Vinícius H Franceschini-Santos, Hatice Yücel, Teodora Filipovska, Bas van Steensel

Abstract read
PubMed Publisher
In one paragraph

Article in Molecular systems biology, 2026. 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. 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.

Max TrauernichtOncode Institute and Division of Molecular Genetics, Netherlands Cancer Institute, 1066 CX, Amsterdam, the Netherlands.ORCID http://orcid.org/0000-0002-4085-4567
Vinícius H Franceschini-SantosOncode Institute and Division of Molecular Genetics, Netherlands Cancer Institute, 1066 CX, Amsterdam, the Netherlands.
Hatice YücelOncode Institute and Division of Molecular Genetics, Netherlands Cancer Institute, 1066 CX, Amsterdam, the Netherlands.
Teodora FilipovskaOncode Institute and Division of Molecular Genetics, Netherlands Cancer Institute, 1066 CX, Amsterdam, the Netherlands.
Bas van SteenselOncode Institute and Division of Molecular Genetics, Netherlands Cancer Institute, 1066 CX, Amsterdam, the Netherlands. b.v.steensel@nki.nl.ORCID http://orcid.org/0000-0002-0284-0404

Funding

EC | European Research Council (ERC) 101054449
6 · The paper itself

Abstract

Transcription factors (TFs) are central to gene regulation and play critical roles in development, cellular homeostasis and disease. The ability to accurately measure TF activity is essential to understanding how TFs respond to signals and regulate target genes. In one commonly used approach, activities of TFs are computationally inferred from genome-wide chromatin accessibility data (ATAC-seq). However, it has remained unclear how well these inferences reflect actual regulatory activity of TFs. An alternative approach employs a collection of synthetic reporters that are designed to each probe the regulatory activity of a single TF. In this study, we systematically compared TF activities as inferred by ATAC-seq with those measured by multiplexed reporters, across diverse perturbations known to alter specific TF activities. We observed considerable overlap between the two methods, but also notable discrepancies. Our findings suggest that reporter assays and chromatin-based inference capture distinct aspects of TF function: reporter assays are more sensitive to signal-responsive TFs, while ATAC-seq better detects chromatin-modifying TFs.

Identifiers

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.