2014
DOI: 10.1016/j.dnarep.2014.03.026
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The relationships between XPC binding to conformationally diverse DNA adducts and their excision by the human NER system: Is there a correlation?

Abstract: The first eukaryotic NER factor that recognizes NER substrates is the heterodimeric XPC-RAD23B protein. The currently accepted hypothesis is that this protein recognizes the distortions/destabilization caused by DNA lesions rather than the lesions themselves. The resulting XPC-RAD23B -DNA complexes serve as scaffolds for the recruitment of subsequent NER factors that lead to the excision of the oligonucleotide sequences containing the lesions. Based on several well-known examples of DNA lesions like the UV rad… Show more

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Cited by 31 publications
(61 citation statements)
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“…Repair resistant lesions have been observed to bind XPC, and we have hypothesized that such binding modes are nonproductive ones. 60 …”
Section: Discussionmentioning
confidence: 99%
“…Repair resistant lesions have been observed to bind XPC, and we have hypothesized that such binding modes are nonproductive ones. 60 …”
Section: Discussionmentioning
confidence: 99%
“…DDB1 and DDB2 are part of the CUL4-ROC1 ubiquitin ligase complex that ubiquitinates DDB2, XPC and histones when DNA is damaged. XPC binds the DNA strand opposite the lesion; this explains the ability of NER to recognize a wide array of lesions, adducts and abnormal structures in DNA (Lee et al 2014). The XPC/hRAD23b/Cen2 complex melts the DNA around the lesion and recruits the transcription/repair factor TFIIH.…”
Section: Global and Transcription-coupled Repair In Human Cellsmentioning
confidence: 99%
“…Mouse monoclonal antibody (5F12) against human XPA (ab65963, Abcam, Cambridge, MA) was used to inhibit the NER activities. The full-length (amino acid residues 1-940) and truncated forms of XPC-RAD23B (the latter missing residues 1-155 only but active in binding to DNA (45)) were expressed in SF-9 insect cells as described (46). Another sample of fulllength XPC-RAD23B was kindly provided by Dr. Orlando Schärer (Stony Brook University, Stony Brook, NY).…”
Section: Methodsmentioning
confidence: 99%