Evidence map›Paper›PMID 41557765›Full record

ArticlePLoS computational biology2026

Compaction of chromatin domains regulates target search times of proteins.

Shuvadip Dutta, Adarshkrishnan Rajakumar, Ranjith Padinhateeri, Mithun K Mitra

Abstract read
In one paragraph

Article in PLoS computational 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
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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

4 authors.

Shuvadip DuttaDepartment of Physics, Indian Institute of Technology Bombay, Mumbai, Maharashtra, India.ORCID https://orcid.org/0000-0002-4373-1589
Adarshkrishnan RajakumarDepartment of Physics, Indian Institute of Technology Bombay, Mumbai, Maharashtra, India.
Ranjith PadinhateeriDepartment of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Mumbai, Maharashtra, India.ORCID https://orcid.org/0000-0001-5485-1474
Mithun K MitraDepartment of Physics, Indian Institute of Technology Bombay, Mumbai, Maharashtra, India.ORCID https://orcid.org/0000-0002-1777-7356

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protein molecules must efficiently locate specific DNA sequences within the densely packed chromatin of the cell nucleus. We investigate how the spatial organisation of chromatin, specifically its organisation into Topologically Associating Domains (TADs), fundamentally affects this search process. Using exact analytical theory and simulations of different models of chromatin, we show that target search within compact, highly connected chromatin domains can leverage intersegmental jumps to significantly decrease search times. Further, we establish that there exists an optimal degree of polymer compaction that minimizes the search time for proteins to find their targets. For highly folded domains, our results suggest that rather than bulk diffusion, intersegmental transfers - jumping between chromatin segments that are close together in space - drive the optimal search process. Remarkably, when we analyse 8,355 TAD structures across the human genome, we find that their natural connectivity matches with the theoretical optimum predicted by our model. The structural organisation within TADs significantly reduces protein search times far beyond what is achievable through classical facilitated diffusion. In essence, our work suggests that packaging of chromatin inside the nucleus has implications beyond spatial organisation, and is also intricately linked to the dynamics of proteins inside the nuclear environment.

Indexed as

ChromatinProteinsCell NucleusComputational BiologyComputer SimulationDNAHumansModels, MolecularChromatinDNAProteins

Identifiers

PMID41557765
PMCPMC12858080

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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.