Abstract
Hi-C enables the characterization of the 0conformation of the genome in the three-dimensional nuclear space. This technique has revolutionized our ability to detect interactions between linearly distant genomic sites on a genome-wide scale. Here, we detail a protocol to carry out in situ Hi-C in plants and describe a straightforward bioinformatics pipeline for the analysis of such data, in particular for comparing samples from different organs or conditions.
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Acknowledgments
FJP-d, JES-F, and AR-C were funded by fellowships from the Consejo Nacional de Ciencia y Tecnología (CONACYT). N-HW, SF-V, and KO are funded by the Newton Advanced Fellowship (No. NAF\R1\180303) awarded to SF-V. KO is supported by the Consejo Nacional de Ciencia y Tecnología (CONACYT, CB-2016-01/285847).
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Pérez-de los Santos, F.J., Sotelo-Fonseca, J.E., Ramírez-Colmenero, A., Nützmann, HW., Fernandez-Valverde, S.L., Oktaba, K. (2022). Plant In Situ Hi-C Experimental Protocol and Bioinformatic Analysis. In: Pereira-Santana, A., Gamboa-Tuz, S.D., Rodríguez-Zapata, L.C. (eds) Plant Comparative Genomics. Methods in Molecular Biology, vol 2512. Humana, New York, NY. https://doi.org/10.1007/978-1-0716-2429-6_13
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DOI: https://doi.org/10.1007/978-1-0716-2429-6_13
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