Publications
Fishman L., Modak A., Nechooshtan G., Razin T., Erhard F., Regev A., Farrell JA., and Rabani M., Cell-type-specific mRNA transcription and degradation kinetics in zebrafish embryogenesis from metabolically labeled single-cell RNA-seq. Nat Commun, 2024.
See also the HUJI press-release.
And in the Jerusalem Post.
Viegas JO, Fishman L, Meshorer E and Rabani M, Calculating RNA degradation rates using large-scale normalization in mouse embryonic stem cells. STAR Protocols, 2023.
Viegas JO, Azad JK, Lv Y, Fishman L, Paltiel T, Pattabiraman S, Park JE, Kaganovich D, Sze SK, Rabani M, Esteban MA, Meshorer E, RNA degradation eliminates developmental transcripts during murine embryonic stem cell differentiation via CAPRIN1-XRN2. Developmental Cell, 2022.
Rabani M, Massively parallel analysis of regulatory RNA sequences. Methods Mol. Biol. 2021; 2218:355-365
Rabani M, Pieper L, Chew GL, Schier AF, Massively parallel reporter assay of 3’UTR sequences identifies in vivo rules for mRNA degradation. Molecular Cell. 2017; 68(6):1083-1094.
See also the Harvard MCB news.
Jovanovic M, Rooney M, Mertins P, Przybylski D, Chverier N, Satija R, Rodriguez EH, Fields AP, Schwartz S, Raychowdhury R, Mumbach M, Eisenhaure T, Rabani M, Gennert D, Lu D, Delorey T, Weissman JS, Carr S, Hacohen N, Regev A. Dynamic profiling of the protein life cycle in response to pathogens. Science. 2015; 347(6226):1259038.
Fuchs G, Voichek Y, Rabani M, Benjamin S, Gilad S, Amit I, Oren M. Measuring simultaneously genome-wide transcription elongation and initiation rates by 4sUDRB-seq. Nature Protocols. 2015; 10(4):605-18.
Rabani M, Raychowdhury R, Jovanovic M, Rooney M, Stumpo DJ, Pauli A, Hacohen N, Schier AF, Blackshear PJ, Friedman N, Amit I, Regev A. High resolution sequencing and modeling identifies distinct dynamic RNA regulatory strategies. Cell. 2014; 159(7):1698-710.
See also the RNA life cycle portal (DRiLL).
Rabani M. Models of dynamic RNA regulation in mammalian cells. Ph.D. Thesis, Massachusetts Institute of Technology (2013).
Rabani M, Levin JZ, Fan L, Adiconis X, Raychowdhury R, Garber M, Gnirke A, Nusbaum C, Hacohen N, Friedman N, Amit I, Regev A. Metabolic labeling of RNA uncovers principles of RNA production and degradation dynamics in mammalian cells. Nature Biotechnology. 2011; 29(5):436-42.
See also Broad Institute press release.
See also highlighted in Nature Reviews Genetics.
Rabani M, Kertesz M, Segal E, Computational prediction of RNA structural motifs involved in post-transcriptional regulatory processes. Methods Mol Biol. 2011; 714:467-479.
Huarte M, Guttman M, Feldser D, Garber M, Koziol MJ, Kenzelmann-Broz D, Khalil AM, Zuk O, Amit I, Rabani M, Attardi LD, Regev A, Lander ES, Jacks T, Rinn JL. A large intergenic noncoding RNA induced by p53 mediates global gene repression in the p53 response. Cell. 2010; 142(3):409-19.
Wolf JJ, Dowell RD, Mahony S, Rabani M, Gifford DK, Fink GR. Feed-forward regulation of a cell fate determinant by an RNA-binding protein generates asymmetry in yeast. Genetics. 2010; 185(2):513-22.
Rabani M, Kertesz M, Segal E. Computational prediction of RNA structural motifs involved in posttranscriptional regulatory processes. PNAS. 2008; 105(39):14885-90.
See also predicting motifs with RNApromo.
Rabani M. A probabilistic model for identifying RNA motifs in unaligned sequences. M.Sc. Thesis, Weizmann Institute of Science (2008).