Evidence map›Paper›PMID 35232465›Full record

ArticleGenome biology2022

The chromatin organization of a chlorarachniophyte nucleomorph genome.

Georgi K Marinov, Xinyi Chen, Tong Wu, Chuan He, Arthur R Grossman, Anshul Kundaje, William James Greenleaf

Open access · goldAbstract read
In one paragraph

Article in Genome biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.7field-weighted citation impact, top 15% 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

3 citing papers in PubMed, 8 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

7 authors at 5 institutions in 1 country.

Georgi K MarinovDepartment of Genetics, Stanford University, Stanford, CA, 94305, USA. GKM359@gmail.com.ORCID 0000-0003-1822-7273
Xinyi ChenDepartment of Bioengineering, Stanford University, Stanford, CA, 94305, USA.
Tong WuDepartment of Chemistry and Institute for Biophysical Dynamics, The University of Chicago, Chicago, IL, 60637, USA.
Chuan HeDepartment of Chemistry and Institute for Biophysical Dynamics, The University of Chicago, Chicago, IL, 60637, USA.
Arthur R GrossmanDepartment of Plant Biology, Carnegie Institution for Science, Stanford, CA, 94305, USA.
Anshul KundajeDepartment of Genetics, Stanford University, Stanford, CA, 94305, USA.
William James GreenleafDepartment of Genetics, Stanford University, Stanford, CA, 94305, USA. wjg@stanford.edu.
Stanford University · USCarnegie Institution for Science · USChan Zuckerberg Initiative (United States) · USHoward Hughes Medical Institute · USUniversity of Chicago · US

Funding

VACCINE INDUCED IMMUNITY IN THE YOUNG AND AGEDU19AI057266 · NIAID · EMORY UNIVERSITY · PI Rafi Ahmed · 2003 to 2026
$81.7M
PRODUCTION CENTER FOR MAPPING REGULATORY REGIONS OF THE HUMAN GENOMEUM1HG009442 · NHGRI · STANFORD UNIVERSITY · PI SNYDER, MICHAEL P. · 2017 to 2021
$20.1M
Special EquipmentP50HG007735 · NHGRI · STANFORD UNIVERSITY · PI CHANG, HOWARD Y · 2014 to 2018
$15.2M
Center for Personal Dynamic RegulomesRM1HG007735 · NHGRI · STANFORD UNIVERSITY · PI CHANG, HOWARD Y · 2019 to 2023
$13.8M
Integration of genetic association mapping and functional data to elucidate genetic mechanisms of diseaseR01HG008140 · NHGRI · STANFORD UNIVERSITY · PI JONATHAN K PRITCHARD · 2016 to 2026
$7.3M
High-throughput systematic characterization of regulatory element functionUM1HG009436 · NHGRI · STANFORD UNIVERSITY · PI BASSIK, MICHAEL C, GREENLEAF, WILLIAM JAMES · 2017 to 2021
$5.4M
Decoding the regulatory architecture of the human genome across cell types, individuals and diseaseU01HG009431 · NHGRI · STANFORD UNIVERSITY · PI PRITCHARD, JONATHAN K · 2017 to 2021
$3.5M
Dissecting tumor metabolic heterogeneity in vivoDP2CA228042 · NCI · ROCKEFELLER UNIVERSITY · PI BIRSOY, KIVANC · 2017 to 2017
$2.5M
NCI NIH HHS DP2 CA228042NHGRI NIH HHS P50 HG007735NHGRI NIH HHS R01 HG008140NHGRI NIH HHS RM1 HG007735NHGRI NIH HHS U01 HG009431NHGRI NIH HHS UM1 HG009436NHGRI NIH HHS UM1 HG009442NIAID NIH HHS U19 AI057266
6 · The paper itself

Abstract

backgroundNucleomorphs are remnants of secondary endosymbiotic events between two eukaryote cells wherein the endosymbiont has retained its eukaryotic nucleus. Nucleomorphs have evolved at least twice independently, in chlorarachniophytes and cryptophytes, yet they have converged on a remarkably similar genomic architecture, characterized by the most extreme compression and miniaturization among all known eukaryotic genomes. Previous computational studies have suggested that nucleomorph chromatin likely exhibits a number of divergent features.

resultsIn this work, we provide the first maps of open chromatin, active transcription, and three-dimensional organization for the nucleomorph genome of the chlorarachniophyte Bigelowiella natans. We find that the B. natans nucleomorph genome exists in a highly accessible state, akin to that of ribosomal DNA in some other eukaryotes, and that it is highly transcribed over its entire length, with few signs of polymerase pausing at transcription start sites (TSSs). At the same time, most nucleomorph TSSs show very strong nucleosome positioning. Chromosome conformation (Hi-C) maps reveal that nucleomorph chromosomes interact with one other at their telomeric regions and show the relative contact frequencies between the multiple genomic compartments of distinct origin that B. natans cells contain.

conclusionsWe provide the first study of a nucleomorph genome using modern functional genomic tools, and derive numerous novel insights into the physical and functional organization of these unique genomes.

Indexed as

CryptophytaGenomeChromatinChromosomesEukaryotaChromatin

Identifiers

PMID35232465
PMCPMC8887012
OpenAlexW4221046531

What OpenQuestion holds

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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.