Evidence map›Paper›PMID 37121547›Full record

ArticleThe Journal of biological chemistry2023

Construction and validation of customized genomes for human and mouse ribosomal DNA mapping.

Subin S George, Maxim Pimkin, Vikram R Paralkar

Open access · goldAbstract read
In one paragraph

Article in The Journal of biological chemistry, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
4.6field-weighted citation impact, top 5% 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

20 citing papers in PubMed, 30 citations in OpenAlex.

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  14. Assessing Human Ribosomal DNA Variation and Its Association With Phenotypic Outcomes.BioEssays : news and reviews in molecular, cellular and developmental biology · 2025
    Review
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  16. bioRxiv : the preprint server for biology · 2024
    Article
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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 3 institutions in 1 country.

Subin S GeorgeInstitute for Biomedical Informatics, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA.
Maxim PimkinCancer and Blood Disorders Center, Harvard Medical School, Dana-Farber Cancer Institute and Boston Children's Hospital, Boston, Massachusetts, USA.
Vikram R ParalkarDivision of Hematology and Oncology, Department of Medicine, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA; Department of Cell and Developmental Biology, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA; Abramson Family Cancer Research Institute, University of Pennsylvania Perelman School of Medicine, Philadelphia, Pennsylvania, USA. Electronic address: vikram.paralkar@pennmedicine.upenn.edu.
Boston Children's Hospital · USCancer Research Institute · USUniversity of Pennsylvania · US

Funding

Regulation of rRNA transcription in mammalian tissuesR35GM138035 · NIGMS · UNIVERSITY OF PENNSYLVANIA · PI Vikram R. Paralkar · 2020 to 2026
$3.2M
NIGMS NIH HHS R35 GM138035
6 · The paper itself

Abstract

rRNAs are transcribed from ribosomal DNA (rDNA) repeats, the most intensively transcribed loci in the genome. Due to their repetitive nature, there is a lack of genome assemblies suitable for rDNA mapping, creating a vacuum in our understanding of how the most abundant RNA in the cell is regulated. Our recent work revealed binding of numerous mammalian transcription and chromatin factors to rDNA. Several of these factors were known to play critical roles in development, tissue function, and malignancy, but their potential roles in rDNA regulation remained unexplored. This demonstrated the blind spot into which rDNA has fallen in genetic and epigenetic studies and highlighted an unmet need for public rDNA-optimized genome assemblies. Here, we customized five human and mouse assemblies-hg19 (GRCh37), hg38 (GRCh38), hs1 (T2T-CHM13), mm10 (GRCm38), and mm39 (GRCm39)-to render them suitable for rDNA mapping. The standard builds of these genomes contain numerous fragmented or repetitive rDNA loci. We identified and masked all rDNA-like regions, added a single rDNA reference sequence of the appropriate species as a ∼45 kb chromosome designated "chromosome R," and created annotation files to aid visualization of rDNA features in browser tracks. We validated these customized genomes for mapping of known rDNA-binding proteins and present a simple workflow for mapping chromatin immunoprecipitation-sequencing datasets. Customized genome assemblies, annotation files, positive and negative control tracks, and Snapgene files of standard rDNA reference sequences have been deposited to GitHub. These resources make rDNA mapping and visualization more readily accessible to a broad audience.

Indexed as

DNA, RibosomalGenomeAnimalsChromatinChromosome MappingHumansMammalsMiceRNA, RibosomalChromatinDNA, RibosomalRNA, RibosomalgenomemappingrDNArRNAtranscription

Identifiers

PMID37121547
PMCPMC10245113
OpenAlexW4367311271

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.