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DECODING COMPLEXITY IN BIOMOLECULAR RECOGNITION OF DNA I-MOTIFS
DNA i-motifs (iMs) are non-canonical C-rich secondary structures implicated in numerous cellular processes. Though iMs exist throughout the genome, our understanding of iM recognition by proteins or small molecules is limited to a few examples. We designed a DNA microarray containing 10,976 genomic...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10153190/ https://www.ncbi.nlm.nih.gov/pubmed/37131644 http://dx.doi.org/10.1101/2023.04.19.537548 |
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author | Yazdani, Kamyar Seshadri, Srinath Tillo, Desiree Vinson, Charles Schneekloth, John S. |
author_facet | Yazdani, Kamyar Seshadri, Srinath Tillo, Desiree Vinson, Charles Schneekloth, John S. |
author_sort | Yazdani, Kamyar |
collection | PubMed |
description | DNA i-motifs (iMs) are non-canonical C-rich secondary structures implicated in numerous cellular processes. Though iMs exist throughout the genome, our understanding of iM recognition by proteins or small molecules is limited to a few examples. We designed a DNA microarray containing 10,976 genomic iM sequences to examine the binding profiles of four iM-binding proteins, mitoxantrone, and the iMab antibody. iMab microarray screens demonstrated that pH 6.5, 5% BSA buffer was optimal, and fluorescence was correlated with iM C-tract length. hnRNP K broadly recognizes diverse iM sequences, favoring 3–5 cytosine repeats flanked by thymine-rich loops of 1–3 nucleotides. Array binding mirrored public ChIP-Seq datasets, in which 35% of well-bound array iMs are enriched in hnRNP K peaks. In contrast, other reported iM-binding proteins had weaker binding or preferred G-quadruplex (G4) sequences instead. Mitoxantrone broadly binds both shorter iMs and G4s, consistent with an intercalation mechanism. These results suggest that hnRNP K may play a role in iM-mediated regulation of gene expression in vivo, whereas hnRNP A1 and ASF/SF2 are possibly more selective in their binding preferences. This powerful approach represents the most comprehensive investigation of how biomolecules selectively recognize genomic iMs to date. |
format | Online Article Text |
id | pubmed-10153190 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
spelling | pubmed-101531902023-05-03 DECODING COMPLEXITY IN BIOMOLECULAR RECOGNITION OF DNA I-MOTIFS Yazdani, Kamyar Seshadri, Srinath Tillo, Desiree Vinson, Charles Schneekloth, John S. bioRxiv Article DNA i-motifs (iMs) are non-canonical C-rich secondary structures implicated in numerous cellular processes. Though iMs exist throughout the genome, our understanding of iM recognition by proteins or small molecules is limited to a few examples. We designed a DNA microarray containing 10,976 genomic iM sequences to examine the binding profiles of four iM-binding proteins, mitoxantrone, and the iMab antibody. iMab microarray screens demonstrated that pH 6.5, 5% BSA buffer was optimal, and fluorescence was correlated with iM C-tract length. hnRNP K broadly recognizes diverse iM sequences, favoring 3–5 cytosine repeats flanked by thymine-rich loops of 1–3 nucleotides. Array binding mirrored public ChIP-Seq datasets, in which 35% of well-bound array iMs are enriched in hnRNP K peaks. In contrast, other reported iM-binding proteins had weaker binding or preferred G-quadruplex (G4) sequences instead. Mitoxantrone broadly binds both shorter iMs and G4s, consistent with an intercalation mechanism. These results suggest that hnRNP K may play a role in iM-mediated regulation of gene expression in vivo, whereas hnRNP A1 and ASF/SF2 are possibly more selective in their binding preferences. This powerful approach represents the most comprehensive investigation of how biomolecules selectively recognize genomic iMs to date. Cold Spring Harbor Laboratory 2023-04-21 /pmc/articles/PMC10153190/ /pubmed/37131644 http://dx.doi.org/10.1101/2023.04.19.537548 Text en This article is a US Government work. |
spellingShingle | Article Yazdani, Kamyar Seshadri, Srinath Tillo, Desiree Vinson, Charles Schneekloth, John S. DECODING COMPLEXITY IN BIOMOLECULAR RECOGNITION OF DNA I-MOTIFS |
title | DECODING COMPLEXITY IN BIOMOLECULAR RECOGNITION OF DNA I-MOTIFS |
title_full | DECODING COMPLEXITY IN BIOMOLECULAR RECOGNITION OF DNA I-MOTIFS |
title_fullStr | DECODING COMPLEXITY IN BIOMOLECULAR RECOGNITION OF DNA I-MOTIFS |
title_full_unstemmed | DECODING COMPLEXITY IN BIOMOLECULAR RECOGNITION OF DNA I-MOTIFS |
title_short | DECODING COMPLEXITY IN BIOMOLECULAR RECOGNITION OF DNA I-MOTIFS |
title_sort | decoding complexity in biomolecular recognition of dna i-motifs |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10153190/ https://www.ncbi.nlm.nih.gov/pubmed/37131644 http://dx.doi.org/10.1101/2023.04.19.537548 |
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