Evidence map›Paper›PMID 35176029›Full record

ArticlePLoS computational biology2022

High fidelity epigenetic inheritance: Information theoretic model predicts threshold filling of histone modifications post replication.

Nithya Ramakrishnan, Sibi Raj B Pillai, Ranjith Padinhateeri

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 30% of its field
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

4 citing papers in PubMed, 11 citations in OpenAlex.

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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 at 1 institution in 1 country.

Nithya RamakrishnanDepartment of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Mumbai, India.ORCID 0000-0002-5858-0058
Sibi Raj B PillaiDepartment of Electrical Engineering, Indian Institute of Technology Bombay, Mumbai, India.
Ranjith PadinhateeriDepartment of Biosciences and Bioengineering, Indian Institute of Technology Bombay, Mumbai, India.ORCID 0000-0001-5485-1474
Indian Institute of Technology Bombay · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During cell devision, maintaining the epigenetic information encoded in histone modification patterns is crucial for survival and identity of cells. The faithful inheritance of the histone marks from the parental to the daughter strands is a puzzle, given that each strand gets only half of the parental nucleosomes. Mapping DNA replication and reconstruction of modifications to equivalent problems in communication of information, we ask how well enzymes can recover the parental modifications, if they were ideal computing machines. Studying a parameter regime where realistic enzymes can function, our analysis predicts that enzymes may implement a critical threshold filling algorithm which fills unmodified regions of length at most k. This algorithm, motivated from communication theory, is derived from the maximum à posteriori probability (MAP) decoding which identifies the most probable modification sequence based on available observations. Simulations using our method produce modification patterns similar to what has been observed in recent experiments. We also show that our results can be naturally extended to explain inheritance of spatially distinct antagonistic modifications.

Indexed as

Epigenesis, GeneticHistone CodeChromatinDNA ReplicationHistonesInheritance PatternsNucleosomesChromatinHistonesNucleosomes

Identifiers

PMID35176029
PMCPMC8903295
OpenAlexW4213146629

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.