Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Reut Ashwal-Fluss"'
Autor:
Avigayel Rabin, Michela Zaffagni, Reut Ashwal-Fluss, Ines Lucia Patop, Aarti Jajoo, Shlomo Shenzis, Liran Carmel, Sebastian Kadener
Publikováno v:
Genome Biology, Vol 22, Iss 1, Pp 1-26 (2021)
Abstract Here we describe a new integrative approach for accurate annotation and quantification of circRNAs named Short Read circRNA Pipeline (SRCP). Our strategy involves two steps: annotation of validated circRNAs followed by a quantification step.
Externí odkaz:
https://doaj.org/article/32b64120f1c94a27930b882b2108574d
Autor:
Diptendu Mukherjee, Ben Jerry Gonzales, Reut Ashwal-Fluss, Hagit Turm, Maya Groysman, Ami Citri
Publikováno v:
eLife, Vol 10 (2021)
Drug addiction develops due to brain-wide plasticity within neuronal ensembles, mediated by dynamic gene expression. Though the most common approach to identify such ensembles relies on immediate early gene expression, little is known of how the acti
Externí odkaz:
https://doaj.org/article/fc3a53685ff54aee88eb73bed0d4c15d
Autor:
Yaara Cohen-Hadad, Gheona Altarescu, Talia Eldar-Geva, Ephrat Levi-Lahad, Ming Zhang, Ekaterina Rogaeva, Marc Gotkine, Osnat Bartok, Reut Ashwal-Fluss, Sebastian Kadener, Silvina Epsztejn-Litman, Rachel Eiges
Publikováno v:
Stem Cell Reports, Vol 7, Iss 5, Pp 927-940 (2016)
We established two human embryonic stem cell (hESC) lines with a GGGGCC expansion in the C9orf72 gene (C9), and compared them with haploidentical and unrelated C9 induced pluripotent stem cells (iPSCs). We found a marked difference in C9 methylation
Externí odkaz:
https://doaj.org/article/9f14e07fd920475989781574b056d061
Autor:
Ilana Buchumenski, Osnat Bartok, Reut Ashwal-Fluss, Varun Pandey, Hagit T Porath, Erez Y Levanon, Sebastian Kadener
Publikováno v:
PLoS Genetics, Vol 13, Iss 7, p e1006931 (2017)
In Drosophila, A-to-I editing is prevalent in the brain, and mutations in the editing enzyme ADAR correlate with specific behavioral defects. Here we demonstrate a role for ADAR in behavioral temperature adaptation in Drosophila. Although there is a
Externí odkaz:
https://doaj.org/article/eccc81e6702c4685a8336bb5042662f9
Autor:
Sebastian Kadener, Ines Lucia Patop, Avigayel Rabin, Reut Ashwal-Fluss, Michela Zaffagni, Shlomo Shenzis, Liran Carmel, Aarti Jajoo
Publikováno v:
Genome Biology, Vol 22, Iss 1, Pp 1-26 (2021)
Genome Biology
Genome Biology
Here we describe a new integrative approach for accurate annotation and quantification of circRNAs named Short Read circRNA Pipeline (SRCP). Our strategy involves two steps: annotation of validated circRNAs followed by a quantification step. We show
Autor:
Maria S. Robles, Christoph Schmal, Achim Kramer, Tanja Bange, Sebastian Kadener, Reut Ashwal-Fluss, Hanspeter Herzel, Osnat Bartok, Anna-Marie Finger, Bert Maier, Stella Koutsouli
A defining property of circadian clocks is temperature compensation, characterized by the resilience of circadian free-running periods against changes in environmental temperature. As an underlying mechanism, the balance or critical reaction hypothes
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1b6bb701418defd5827dd7e091e6e118
https://doi.org/10.1101/2021.10.06.463236
https://doi.org/10.1101/2021.10.06.463236
Autor:
Maya Groysman, Reut Ashwal-Fluss, Ben Jerry Gonzales, Hagit Turm, Diptendu Mukherjee, Ami Citri
Drug addiction develops due to brain-wide plasticity within neuronal ensembles, mediated by dynamic gene expression. Though the most common approach to identify such ensembles relies on immediate early gene expression, little is known of how the acti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5407e05d18b522cfdebd2b5ffa069900
https://doi.org/10.1101/2020.11.26.400721
https://doi.org/10.1101/2020.11.26.400721
Autor:
Aishwarya Krishnamoorthy, Ines Lucia Patop, Sebastian Kadener, Nagarjuna Reddy Pamudurti, Osnat Bartok, Reut Ashwal-Fluss
Publikováno v:
Cell Discovery
Cell Discovery, Vol 6, Iss 1, Pp 1-11 (2020)
Cell Discovery, Vol 6, Iss 1, Pp 1-11 (2020)
Exonic circular RNAs (circRNAs) are highly abundant RNAs generated mostly from exons of protein-coding genes. Assaying the functions of circRNAs is not straightforward as common approaches for circRNA depletion tend to also alter the levels of mRNAs
Identification and quantification of circular RNAs (circRNAs) depends strongly on the utilized computational pipeline. Here we describe an integrative approach for accurate annotation and quantification of circRNAs. First, we utilize several circRNA-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f82d746b5886e794114ddd1c08abdc54
https://doi.org/10.1101/2019.12.15.876755
https://doi.org/10.1101/2019.12.15.876755