Research

Research Blog

"Can't start a fire without a spark"

Bruce Springsteen

Dead Sea Scrolls “Puzzle” Pieced Using DNA Extracted from the Animal Skins on which the Scrolls Were

TRANSGENERATIONAL SMALL RNA INHERITANCE

THE NEURONAL BASIS FOR DECISION-MAKING - WHAT LEADS TO IRRATIONALITY?

Selected Publications

D. Landschaft Berliner, K. Goldstein, G. Teichman, S. Anava, H. Gingold, I. Rieger, N. Levi, V. Pechuk, Y. Salzberg, P. Agarwal, D. Sagi, D. Cohen, E. Nikelshparg, A. Ben-Zvi, R. Zaidel-Bar, A. Miranda Vizuete, M. Oren-Suissa, O. Rechavi, A Tunable and Druggable Mechanism to Delay Forgetting of Olfactory Memories in C. elegans, bioRxiv, (2024)
I. Rieger, G. Weintraub, I. Lev, K. Goldstein, D. Bar-Zvi, S. Anava, H. Gingold, S. Shaham, O. Rechavi.
Nucleus-Independent Transgenerational Small RNA Inheritance in C. elegans. Science Advances, (2023)
Y. Yovel, O. Rechavi, AI and the Doctor Dolittle challenge. Current Biology, (2023)
M.M.L. Knott, O. Rechavi, Transgenerational inheritance of engineered cytosine methylation in mice. Cell Research, (2023)
O. Rechavi, P Tomancak. Who did what: changing how science papers are written to detail author contributions. Nature Reviews in Molecular Cell Biology, (2023).
R. Haque, S. P. Kurien, H. Setty, Y. Salzberg, G. Stelzer, E. Litvak, H. Gingold, O. Rechavi, M. Oren-Suissa, Sex-Specific Developmental Gene Expression Atlas Unveils Dimorphic Gene Networks in C. elegans, bioRxiv (2023)
G. Teichman, D. Cohen, O. Ganon, N. Dunsky, S. Shani, H. Gingold, O. Rechavi RNAlysis: analyze your RNA sequencing data without writing a single line of code. BMC Biol 21, 74 (2023)
C. Kiang Ewe , O. Rechavi The third barrier to transgenerational inheritance in animals: somatic epigenetic resetting. EMBO reports e56615 (2023)
F. Bernard, D. Dargère, O. Rechavi, D. Dupuy. Quantitative analysis of C. elegans transcripts by Nanopore direct-cDNA sequencing reveals terminal hairpins in non trans-spliced mRNAs. Nat Commun. 14, 1229 (2023).
I.Toker, I.Lev, Y.Mor, Y.Gurevich, D.Fisher, L.Houri-Zeevi, O.Antonova, L.Hadany, S.Shaham, O.Rechavi. Transgenerational inheritance of sexual attractiveness via small RNAs enhances evolvability in C. elegans. (2022) Dev Cell.
X. Chen , O. Rechavi Plant and animal small RNA communications between cells and organisms.
(2022) Nat Rev Mol Cell Biol.

Hakimi A#, Mor Y#, Toker IA, Levine A, Markovitz Y, Rechavi O. (2017) WorMachine: Machine Learning-Based Phenotypic Analysis Tool for Worms. BMC Biology. # Equal contribution
Rechavi O. Lev I. (2017) Principles of Transgenerational Small RNA Inheritance in C. elegans. Current Biology.
Bar M, Rotblat B, Rechavi O. (2017). Nomad scientists and the ones left behind. eLife.
Lev I#, Seroussi U#, Gingold H, Bril R, Anava S, *Rechavi O. (2017). MET-2-Dependent H3K9 Methylation Suppresses Transgenerational Small RNA Inheritance. Current Biology. # Equal contribution See the dispatch review on the paper in Current Biology
*Houri-Ze'evi L, Korem Y, Sheftel H, Faigenbloom L, Toker IA, Dagan Y, Awad L, Degani L, Alon U, Rechavi O. (2016). A Tunable Mechanism Determines the Duration of the Transgenerational Small RNA Inheritance in C. elegans. Cell. See the review in Nature Reviews Genetics * Corresponding author
Houri-Ze'evi L, Rechavi O (2016). A Matter of Time: Small RNAs Regulate the Duration of Epigenetic Inheritance. Trends in Genetics.
Sagi D, Rak R, Gingold H, Adir I, Maayan G, Dahan O, Broday L, Pilpel Y, Rechavi O. (2016). Tissue- and Time-Specific Expression of Otherwise Identical tRNA Genes. PLoS Genet.
*Rechavi, O., Houri-Ze’evi, L., Anava, S., Goh, WS., Kerk, SY., Hannon, GJ., and Hobert, O.(2014). Starvation-Induced Transgenerational Inheritance of Small RNAs in C. elegans. Cell. See also Leading Edge Commentary in Cell * Corresponding author
Rechavi, O. (2013). Guest list or black list: heritable small RNAs as immunogenic memories‏. Trends in Cell Biology.
*Rechavi, O., Minevich, G., and Hobert, O. (2011). Transgenerational inheritance of an acquired small RNA-based antiviral response in C.elegans. Cell. 147, 1248 1256. See the F1000 Highlight * Corresponding author
Rechavi, O., Kalman, M., Fang, Y., Vernitsky, H., Jacob-Hirsch, J., Foster, L. J., Kloog, Y., and Goldstein, I. (2010). Trans-SILAC: sorting out the non-cell-autonomous proteome. Nature Methods. 7:923-927.
Rechavi, O., Erlich, Y., Amram, H., Flomenblit, L., Karginov, F. V., Goldstein, I, Hannon, G. J., and Kloog, Y. (2009). Cell contact-dependent acquisition of cellular and viral nonautonomously encoded small RNAs. Genes & Development. 23:1971-1979.

C. elegans Research Tools

WorMachine

Machine Learning-Based Phenotypic Analysis Tool for Worms.
A three-step MATLAB-based image analysis software developed in the Rechavi Lab that allows automated identification of C. elegans worms, extraction of morphological features, and quantification of fluorescent signals.

RNAlysis

RNAlysis is a modular Python-based analysis software for RNA sequencing data that was developed in the Oded Rechavi Lab.
RNAlysis allows users to build customized analysis pipelines suiting their specific research questions, going all the way from raw FASTQ files, through exploratory data analysis and data visualization, clustering analysis, and gene-set enrichment analysis. RNAlysis provides a friendly graphical user interface, allowing researchers to analyze data without writing code.

Funding

Research

Research Blog

"Can't start a fire without a spark"

Dead Sea Scrolls “Puzzle” Pieced Using DNA Extracted from the Animal Skins on which the Scrolls Were

TRANSGENERATIONAL SMALL RNA INHERITANCE

THE NEURONAL BASIS FOR DECISION-MAKING - WHAT LEADS TO IRRATIONALITY?

Selected Publications

C. elegans Research Tools

WorMachine

Machine Learning-Based Phenotypic Analysis Tool for Worms. A three-step MATLAB-based image analysis software developed in the Rechavi Lab that allows automated identification of C. elegans worms, extraction of morphological features, and quantification of fluorescent signals.

RNAlysis

Funding

Machine Learning-Based Phenotypic Analysis Tool for Worms.
A three-step MATLAB-based image analysis software developed in the Rechavi Lab that allows automated identification of C. elegans worms, extraction of morphological features, and quantification of fluorescent signals.