Evaluation of repair activity by quantification of ribonucleotides in the genome-Reference-Cited by-同舟云学术

Evaluation of repair activity by quantification of ribonucleotides in the genome

Published:2021-06-02 Issue:8 Volume:26 Page:555-569
ISSN:1356-9597
Container-title:Genes to Cells
language:en
Short-container-title:Genes Cells

Author:

Iida Tetsushi¹^ORCID,Iida Naoko²³,Sese Jun⁴,Kobayashi Takehiko¹⁵^ORCID

Affiliation:

1. Laboratory of Genome Regeneration Research Center for Biological Visualization The Institute for Quantitative Biosciences (IQB) Tokyo Japan

2. Division of Genome Analysis Platform Development National Cancer Center Research Institute Tokyo Japan

3. Section of Genome Analysis Platform Center for Cancer Genomic and Advanced Therapeutics (C‐CAT) National Cancer Center Research Institute Tokyo Japan

4. Artificial Intelligence Research Center National Institute of Advanced Industrial Science and Technology (AIST) Tokyo Japan

5. Collaborative Research Institute for Innovative Microbiology the University of Tokyo Tokyo Japan

Funder

Ministry of Education, Culture, Sports, Science and Technology

Japan Society for the Promotion of Science

Precursory Research for Embryonic Science and Technology

Publisher

Wiley

Subject

Cell Biology,Genetics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/gtc.12871

Reference30 articles.

1. Ribonucleotide incorporation in yeast genomic DNA shows preference for cytosine and guanosine preceded by deoxyadenosine

2. Ribose—An Internal Threat to DNA

3. Mutational spectrum analysis of RNase H(35) deficient Saccharomyces cerevisiae using fluorescence-based directed termination PCR

4. Mismatch repair-independent tandem repeat sequence instability resulting from ribonucleotide incorporation by DNA polymerase ɛ

5. Tracking replication enzymology in vivo by genome-wide mapping of ribonucleotide incorporation

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3. rNMPID: a database for riboNucleoside Mono-Phosphates In DNA;2023-11-17

4. RESCOT: Restriction enzyme set and combination optimization tools for rNMP capture techniques;Theoretical Computer Science;2021-11

5. RibosePreferenceAnalysis: Analyzing the preference of rNMPs embedded in genomic DNA;Software Impacts;2021-11