MétaCan
Menu
Back to cohort
Record W3023774886 · doi:10.1101/2020.05.06.079905

Condensed chromatin behaves like a solid on the mesoscale in vitro and in living cells

2020· preprint· en· W3023774886 on OpenAlexaff
Hilmar Strickfaden, Thomas O. Tolsma, Ajit Kumar Sharma, D. Alan Underhill, Jeffrey C. Hansen, Michael J. Hendzel

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2020
Typepreprint
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicGenomics and Chromatin Dynamics
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsEuchromatinChromatinHeterochromatinHistoneCell biologyNucleosomeBiophysicsDNABiologyIn vitroChemistryGenetics

Abstract

fetched live from OpenAlex

SUMMARY The association of nuclear DNA with histones to form chromatin is essential to the temporal and spatial control of eukaryotic genomes. In this study, we examined the physical state of chromatin in vitro and in vivo. Our in vitro studies demonstrate that MgCl2-dependent self-association of native chromatin fragments or reconstituted nucleosomal arrays produced supramolecular condensates whose constituents are physically constrained and solid-like. Liquid chromatin condensates could be generated in vitro, but only using non-physiological conditions. By measuring DNA mobility within heterochromatin and euchromatin in living cells, we show that chromatin also exhibits solid-like behavior in vivo. Representative heterochromatin proteins, however, displayed liquid-like behavior and coalesced around a solid chromatin scaffold. Remarkably, both euchromatin and heterochromatin showed solid-like behavior even when transmission electron microscopy revealed limited interactions between chromatin fibers. Our results therefore argue that chromatin is not liquid but exists in a solid-like material state whose properties are tuned by fiber-fiber interactions.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.009
GPT teacher head0.204
Teacher spread0.196 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations24
Published2020
Admission routes1
Has abstractyes

Explore more

Same venuebioRxiv (Cold Spring Harbor Laboratory)Same topicGenomics and Chromatin DynamicsFrench-language works237,207