One Chromatin, Many Structures: From Ensemble Contact Maps to Single-Cell 3D Organization

Chromatin domains, boundaries, and contact enrichments are often interpreted as fixed structural entities, even though most experimental measurements average over large and heterogeneous cell populations. The SR-EV framework shows that many of these features can be understood as emerging from minimal geometric rules combined with ensemble-level bias, without requiring explicit molecular interactions or deterministic folding mechanisms. By distinguishing single-configuration heterogeneity from ensemble-level statistical organization - including the emergence of packing domains- SR-EV supports an interpretation in which chromatin organization is realized in individual cells but must be analyzed through ensembles. This perspective clarifies the probabilistic nature of genome architecture and provides a tractable reference framework for interpreting multimodal genomic and imaging data.

Authors

Institutions

Publication Details

Journal
bioRxiv (Cold Spring Harbor Laboratory)
Published
2026-03-21
DOI
https://doi.org/10.64898/2026.03.19.710883
Primary Topic
Genomics and Chromatin Dynamics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

One Chromatin, Many Structures: From Ensemble Contact Maps to Single-Cell 3D Organization

Marcelo A. Carignano, Igal Szleifer, Martin Kroeger, Vadim Backman et al.
bioRxiv (Cold Spring Harbor Laboratory)
Genomics and Chromatin Dynamics
article

One Chromatin, Many Structures: From Ensemble Contact Maps to Single-Cell 3D Organization

Marcelo A. Carignano, Igal Szleifer, Martin Kroeger, Vadim Backman, Luay Almassalha
article en

Abstract

Chromatin domains, boundaries, and contact enrichments are often interpreted as fixed structural entities, even though most experimental measurements average over large and heterogeneous cell populations. The SR-EV framework shows that many of these features can be understood as emerging from minimal geometric rules combined with ensemble-level bias, without requiring explicit molecular interactions or deterministic folding mechanisms. By distinguishing single-configuration heterogeneity from ensemble-level statistical organization - including the emergence of packing domains- SR-EV supports an interpretation in which chromatin organization is realized in individual cells but must be analyzed through ensembles. This perspective clarifies the probabilistic nature of genome architecture and provides a tractable reference framework for interpreting multimodal genomic and imaging data.

bioRxiv (Cold Spring Harbor Laboratory)
Northwestern University (US), ETH Zurich (CH)
Openalex Percentile: Top 13%
Genomics and Chromatin Dynamics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.