Evidence map›Paper›PMID 31557185›Full record

ArticlePloS one2019

Quartet-based inference of cell differentiation trees from ChIP-Seq histone modification data.

Nazifa Ahmed Moumi, Badhan Das, Zarin Tasnim Promi, Nishat Anjum Bristy, Md Shamsuzzoha Bayzid

Abstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

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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

1 citing paper in PubMed.

  1. Article
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

5 authors.

Nazifa Ahmed MoumiDepartment of Computer Science and Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh.
Badhan DasDepartment of Computer Science and Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh.
Zarin Tasnim PromiDepartment of Computer Science and Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh.
Nishat Anjum BristyDepartment of Computer Science and Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh.
Md Shamsuzzoha BayzidDepartment of Computer Science and Engineering, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh.ORCID 0000-0002-5640-0615

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding cell differentiation-the process of generation of distinct cell-types-plays a pivotal role in developmental and evolutionary biology. Transcriptomic information and epigenetic marks are useful to elucidate hierarchical developmental relationships among cell-types. Standard phylogenetic approaches such as maximum parsimony, maximum likelihood and neighbor joining have previously been applied to ChIP-Seq histone modification data to infer cell-type trees, showing how diverse types of cells are related. In this study, we demonstrate the applicability and suitability of quartet-based phylogenetic tree estimation techniques for constructing cell-type trees. We propose two quartet-based pipelines for constructing cell phylogeny. Our methods were assessed for their validity in inferring hierarchical differentiation processes of various cell-types in H3K4me3, H3K27me3, H3K36me3, and H3K27ac histone mark data. We also propose a robust metric for evaluating cell-type trees.

Indexed as

Biological EvolutionCell DifferentiationCell LineCell Line, TumorChromatin Immunoprecipitation SequencingDatabases, GeneticEpigenesis, GeneticGene Expression Regulation, DevelopmentalHistone CodeHumansLikelihood FunctionsModels, GeneticPhylogeny

Identifiers

PMID31557185
PMCPMC6762093

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Registered trials

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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.