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Chromosome Translocation

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Attention for Chapter 5: Generation of Genomic Alteration from Cytidine Deamination
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Chapter title
Generation of Genomic Alteration from Cytidine Deamination
Chapter number 5
Book title
Chromosome Translocation
Published in
Advances in experimental medicine and biology, January 2018
DOI 10.1007/978-981-13-0593-1_5
Pubmed ID
Book ISBNs
978-9-81-130592-4, 978-9-81-130593-1
Authors

Xiaojing Liu, Fei-Long Meng, Liu, Xiaojing, Meng, Fei-Long

Abstract

The sources of genome instability can be attributed to many extra- and exo- cellular factors accompanying various biological processes. In leukemia and lymphomas, the collateral effect of programmed DNA alterations during immune diversification is the major source of genome instability. Cytidine deamination from cytidine (C) to uridine (U) at immunoglobulin (Ig) gene loci is required for initiation of antibody diversification, while the same process also contributes to recurrent translocation or mutations outside of Ig loci in lymphocyte-origin tumors. Furthermore, genome sequencing of cancer cells from many tissue origins revealed a significant enrichment of cytidine deaminase mutagenesis signature in human cancers. Thus, cytidine deamination, which can intensively happen in an enzyme-dependent fashion at specific genomic regions, is a widespread genome instability source across many tumor types. AID/APOBEC superfamily proteins are the main single-stranded DNA deaminases in eukaryotes, which play vital roles in adaptive and innate immunity. Their deamination products can be channeled into mutations, insertions and deletions (indels), clusters of mutations called kaetagis, or chromosomal rearrangements/translocations. Here, we review the generation of genome instability from AID/APOBEC-dependent cytidine deamination with emphasis on the most studied enzyme, AID.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 33%
Researcher 2 17%
Professor > Associate Professor 2 17%
Student > Master 1 8%
Student > Postgraduate 1 8%
Other 0 0%
Unknown 2 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 50%
Agricultural and Biological Sciences 2 17%
Mathematics 1 8%
Medicine and Dentistry 1 8%
Unknown 2 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 June 2018.
All research outputs
#20,523,725
of 23,092,602 outputs
Outputs from Advances in experimental medicine and biology
#4,002
of 4,976 outputs
Outputs of similar age
#378,481
of 442,643 outputs
Outputs of similar age from Advances in experimental medicine and biology
#197
of 237 outputs
Altmetric has tracked 23,092,602 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,976 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 237 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.