RNA

Displaying 1 - 20 of 20CSV
Mangione, R. M., Pierce, S., Zheng, M., Martin, R. M., Goncalves, C., Kumar, A., Scaglione, S., de Sousa Morgado, C., Penzo, A., Lancrey, A., Reid, R. J. D., Lautier, O., Gaillard, P.-H., Stirling, P. C., de Almeida, S. F., Rothstein, R., & Palancade, B. (2025). DNA lesions can frequently precede DNA:RNA hybrid accumulation. Nature Communications, 16(1). https://doi.org/10.1038/s41467-025-57588-x
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Wang, Z., Liu, Z., Fang, Y., Zhang, H. H., Sun, X., Hao, N., Que, J., & Ding, H. (2025). Training data diversity enhances the basecalling of novel RNA modification-induced nanopore sequencing readouts. Nature Communications, 16(1). https://doi.org/10.1038/s41467-025-55974-z
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Tian, J., Lam, T. G., Ross, S. K., Ciener, B., Leskinen, S., Sivakumar, S., Bennett, D. A., Menon, V., McKhann, G. M., Runnels, A., & Teich, A. F. (2024). An analysis of RNA quality metrics in human brain tissue. Journal of Neuropathology & Experimental Neurology. https://doi.org/10.1093/jnen/nlae132
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Shin, J. H., Cuevas, L. M., Roy, R., Bonilla, S. L., Al-Hashimi, H., Greenleaf, W. J., & Herschlag, D. (2024). Exploring the energetic and conformational properties of the sequence space connecting naturally occurring RNA tetraloop receptor motifs. RNA, 30(12), 1646–1659. https://doi.org/10.1261/rna.080039.124
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Cavalleri, E., Cabri, A., Soto-Gomez, M., Bonfitto, S., Perlasca, P., Gliozzo, J., Callahan, T. J., Reese, J., Robinson, P. N., Casiraghi, E., Valentini, G., & Mesiti, M. (2024). An ontology-based knowledge graph for representing interactions involving RNA molecules. Scientific Data, 11(1). https://doi.org/10.1038/s41597-024-03673-7
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Feng, H., Lu, X.-J., Maji, S., Liu, L., Ustianenko, D., Rudnick, N. D., & Zhang, C. (2024). Structure-based prediction and characterization of photo-crosslinking in native protein–RNA complexes. Nature Communications, 15(1). https://doi.org/10.1038/s41467-024-46429-y
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Hernandez-Morato, I., & Kemfack, A. M. (2024). Next-Generation Sequencing Application: A Systematic Approach for High-Quality RNA Isolation from Skeletal Muscles. RNA Amplification and Analysis, 13–24. https://doi.org/10.1007/978-1-0716-3918-4_2
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Honzel, E., Joshi, A., Hernandez-Morato, I., Pennington-FitzGerald, W., & Pitman, M. J. (2024). A comparison of confocal and epifluorescence microscopy for quantification of RNAScope and immunohistochemistry fluorescent images. Journal of Neuroscience Methods, 403, 110050. https://doi.org/10.1016/j.jneumeth.2023.110050
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Pourmorady, A. D., Bashkirova, E. V., Chiariello, A. M., Belagzhal, H., Kodra, A., Duffié, R., Kahiapo, J., Monahan, K., Pulupa, J., Schieren, I., Osterhoudt, A., Dekker, J., Nicodemi, M., & Lomvardas, S. (2023). RNA-mediated symmetry breaking enables singular olfactory receptor choice. Nature, 625(7993), 181–188. https://doi.org/10.1038/s41586-023-06845-4
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Shi, P., Murphy, M. R., Aparicio, A. O., Kesner, J. S., Fang, Z., Chen, Z., Trehan, A., Guo, Y., & Wu, X. (2023). Collateral activity of the CRISPR/RfxCas13d system in human cells. Communications Biology, 6(1). https://doi.org/10.1038/s42003-023-04708-2
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Roy, R., Geng, A., Shi, H., Merriman, D. K., Dethoff, E. A., Salmon, L., & Al-Hashimi, H. M. (2023). Kinetic Resolution of the Atomic 3D Structures Formed by Ground and Excited Conformational States in an RNA Dynamic Ensemble. Journal of the American Chemical Society, 145(42), 22964–22978. https://doi.org/10.1021/jacs.3c04614
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Meers, C., Le, H. C., Pesari, S. R., Hoffmann, F. T., Walker, M. W. G., Gezelle, J., Tang, S., & Sternberg, S. H. (2023). Transposon-encoded nucleases use guide RNAs to promote their selfish spread. Nature, 622(7984), 863–871. https://doi.org/10.1038/s41586-023-06597-1
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Jang, M. Y., Patel, P. N., Pereira, A. C., Willcox, J. A. L., Haghighi, A., Tai, A. C., Ito, K., Morton, S. U., Gorham, J. M., McKean, D. M., DePalma, S. R., Bernstein, D., Brueckner, M., Chung, W. K., Giardini, A., Goldmuntz, E., Kaltman, J. R., Kim, R., Newburger, J. W., … Seidman, J. G. (2023). Contribution of Previously Unrecognized RNA Splice-Altering Variants to Congenital Heart Disease. Circulation: Genomic and Precision Medicine, 16(3), 224–231. https://doi.org/10.1161/circgen.122.003924
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Nelson, T. M., Ghosh, S., & Postler, T. S. (2022). L-RAPiT: A Cloud-Based Computing Pipeline for the Analysis of Long-Read RNA Sequencing Data. International Journal of Molecular Sciences, 23(24), 15851. https://doi.org/10.3390/ijms232415851
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Ostheim, P., Alemu, S. W., Tichý, A., Sirak, I., Davidkova, M., Stastna, M. M., Kultova, G., Schuele, S., Paunesku, T., Woloschak, G., Ghandhi, S. A., Amundson, S. A., Haimerl, M., Stroszczynski, C., Port, M., & Abend, M. (2022). Examining potential confounding factors in gene expression analysis of human saliva and identifying potential housekeeping genes. Scientific Reports, 12(1). https://doi.org/10.1038/s41598-022-05670-5
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Columbia Affiliation
Lim, J., Laffleur, B., Basu, U., & Yu, K. (2022). Identification of RNA–DNA Hybrids Associated with R-Loops at the IgH Switch Sequence in Activated B Cells. R-Loops, 55–66. https://doi.org/10.1007/978-1-0716-2477-7_5
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Agrafioti, P., Morin‐Baxter, J., Tanagala, K. K. K., Dubey, S., Sims, P., Lalla, E., & Momen‐Heravi, F. (2022). Decoding the role of macrophages in periodontitis and type 2 diabetes using single‐cell RNA‐sequencing. The FASEB Journal, 36(2). Portico. https://doi.org/10.1096/fj.202101198r
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Ma, Y., Dammer, E. B., Felsky, D., Duong, D. M., Klein, H.-U., White, C. C., Zhou, M., Logsdon, B. A., McCabe, C., Xu, J., Wang, M., Wingo, T. S., Lah, J. J., Zhang, B., Schneider, J., Allen, M., Wang, X., Ertekin-Taner, N., Seyfried, N. T., … De Jager, P. L. (2021). Atlas of RNA editing events affecting protein expression in aged and Alzheimer’s disease human brain tissue. Nature Communications, 12(1). https://doi.org/10.1038/s41467-021-27204-9
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