Evidence map›Paper›PMID 42239177›Full record

ArticlebioRxiv : the preprint server for biology2026

Echo characterizes the desynchronization of gene expression and chromatin accessibility during cell-state transitions.

Connor Finkbeiner, Dominik Otto, Manu Setty

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. 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

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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

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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.

Connor FinkbeinerBasic Sciences Division, Fred Hutchinson Cancer Center, Seattle WA.ORCID 0009-0003-5466-1285
Dominik OttoBasic Sciences Division, Fred Hutchinson Cancer Center, Seattle WA.ORCID 0000-0002-6116-053X
Manu SettyBasic Sciences Division, Fred Hutchinson Cancer Center, Seattle WA.ORCID 0000-0002-0344-2627

Funding

Computational Modeling of Lineage Decisions using Single-cell DataR35GM147125 · NIGMS · FRED HUTCHINSON CANCER CENTER · PI Manu N Setty · 2022 to 2026
$2.1M
High-Performance Compute Cluster for Comprehensive Cancer and Infectious Diseases ResearchS10OD028685 · OD · FRED HUTCHINSON CANCER RESEARCH CENTER · PI BRADLEY, PHILIP · 2020 to 2020
$2.0M
Computational Strategies for Deciphering Cellular Differentiation and Cancer ProgressionK99GM159044 · NIGMS · FRED HUTCHINSON CANCER CENTER · PI OTTO, DOMINIK JENZ · 2025 to 2025
$130k
Deciphering the Dynamic Coordination of Chromatin Accessibility and Gene Expression to Uncover the Mechanisms of Cellular DifferentiationF31HD118770 · NICHD · FRED HUTCHINSON CANCER CENTER · PI Connor Finkbeiner · 2025 to 2026
$90k
NICHD NIH HHS F31 HD118770NIGMS NIH HHS K99 GM159044NIGMS NIH HHS R35 GM147125NIH HHS S10 OD028685
6 · The paper itself

Abstract

Cell-state transitions during differentiation and disease involve coordinated changes across gene expression and chromatin accessibility, but these modalities do not change in lockstep. For example, regulatory elements can be primed before their target genes are expressed or remain accessible after expression ceases. This desynchronization between changes in gene expression and chromatin accessibility can manifest at the level of cell states. Understanding the drivers of this desynchronization can give insights into the molecular mechanisms underlying cell-state progression. Here we introduce Echo, a statistical framework that identifies desynchronized cell states and the associated genes and regulatory elements from paired single-cell RNA and ATAC data. Echo States estimates cell-state density independently for each modality and compares them to determine which states are better resolved in RNA or ATAC. Echo Features then predicts feature values over each state space to identify the genes, regulatory loci, and transcription-factor motifs driving this desynchronization. Applying Echo to the developing human fetal retina, we find that desynchronization is pervasive across every major cell population. Expression of cell-cycle genes resolves multipotent progenitors in gene expression but not chromatin accessibility, while fate priming resolves cycling neurogenic precursors in chromatin accessibility before gene expression. By combining desynchronized states and features along the cone trajectory, we reconstructed the regulatory logic of cone fate specification from multipotent progenitors, revealing a tight coupling between multipotency exit, cell cycle and lineage specification. Applying Echo to human hematopoiesis, we identified that the balance between stem-cell quiescence and differentiation is resolved more strongly in chromatin accessibility than in gene expression. Our results establish desynchronization as a pervasive, structured feature of differentiating systems, and Echo as a framework for characterizing the interplay between gene expression and chromatin accessibility during cell-state transitions.

Identifiers

PMID42239177
PMCPMC13228406

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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.