Evidence map›Paper›PMID 38736683›Full record

ArticleBioinformatics advances2024

rNMPID: a database for riboNucleoside MonoPhosphates in DNA.

Jingcheng Yang, Mo Sun, Zihan Ran, Taehwan Yang, Deepali L Kundnani, Francesca Storici, Penghao Xu

Abstract read
In one paragraph

Article in Bioinformatics advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Jingcheng YangState Key Laboratory of Genetic Engineering, School of Life Sciences, Human Phenome Institute, and Shanghai Cancer Center, Fudan University, Shanghai 200438, China.ORCID https://orcid.org/0000-0002-2550-3910
Mo SunSchool of Biological Sciences, Georgia Institute of Technology, Atlanta, GA 30332, United States.ORCID https://orcid.org/0009-0000-7467-6490
Zihan RanDepartment of Research, Shanghai University of Medicine & Health Sciences Affiliated Zhoupu Hospital, Shanghai 201318, China.ORCID https://orcid.org/0000-0002-2862-5497
Taehwan YangSchool of Biological Sciences, Georgia Institute of Technology, Atlanta, GA 30332, United States.ORCID https://orcid.org/0000-0002-3320-9500
Deepali L KundnaniSchool of Biological Sciences, Georgia Institute of Technology, Atlanta, GA 30332, United States.ORCID https://orcid.org/0000-0002-2289-3554
Francesca StoriciSchool of Biological Sciences, Georgia Institute of Technology, Atlanta, GA 30332, United States.ORCID https://orcid.org/0000-0003-4640-3350
Penghao XuSchool of Biological Sciences, Georgia Institute of Technology, Atlanta, GA 30332, United States.ORCID https://orcid.org/0000-0001-6760-144X

Funding

Ribose-seq profile and analysis of ribonucleotides in DNA of oxidatively-stressed and cancer cellsR01ES026243 · NIEHS · GEORGIA INSTITUTE OF TECHNOLOGY · PI STORICI, FRANCESCA · 2016 to 2020
$1.4M
NIEHS NIH HHS R01 ES026243
6 · The paper itself

Abstract

Motivation: Ribonucleoside monophosphates (rNMPs) are the most abundant non-standard nucleotides embedded in genomic DNA. If the presence of rNMP in DNA cannot be controlled, it can lead to genome instability. The actual regulatory functions of rNMPs in DNA remain mainly unknown. Considering the association between rNMP embedment and various diseases and cancer, the phenomenon of rNMP embedment in DNA has become a prominent area of research in recent years. Results: We introduce the rNMPID database, which is the first database revealing rNMP-embedment characteristics, strand bias, and preferred incorporation patterns in the genomic DNA of samples from bacterial to human cells of different genetic backgrounds. The rNMPID database uses datasets generated by different rNMP-mapping techniques. It provides the researchers with a solid foundation to explore the features of rNMP embedded in the genomic DNA of multiple sources, and their association with cellular functions, and, in future, disease. It also significantly benefits researchers in the fields of genetics and genomics who aim to integrate their studies with the rNMP-embedment data. Availability and implementation: rNMPID is freely accessible on the web at https://www.rnmpid.org.

Identifiers

PMID38736683
PMCPMC11088741

What Socratic holds

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LicenceCC BY
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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 Socratic graph.