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UID:1352@biology.technion.ac.il

DTSTART;TZID=Asia/Jerusalem:20260218T133000

DTEND;TZID=Asia/Jerusalem:20260218T140000

DTSTAMP:20260212T125659Z

URL:https://biology.technion.ac.il/en/seminars/msc-graduate-seminar-amit-f
 elach/

SUMMARY:MSc Graduate Seminar-Amit Felach [No Categories]
DESCRIPTION:Location: Hybrid - in the Faculty Auditorium /ZOOM: https://tec
 hnion.zoom.us/j/99663315043  Amit Felach\n Affiliation: \n Host:Dr. Assaf 
 Bester \n Studying lncRNA Sequence–Function Relationships Using Minimall
 y Supervised Model\n\n&nbsp\;\n\nLong non-coding RNAs (lncRNAs) constitute
  a major regulatory component of the human transcriptome\, yet their mecha
 nisms of action and functional organization remain poorly understood. Enab
 led by advances in RNA sequencing\, genomic resources\, and molecular inte
 raction assays\, this study integrates computational and experimental appr
 oaches to characterize lncRNA regulatory functions and subcellular localiz
 ation. We applied a Minimally Supervised Model bioinformatic framework to 
 identify functional domains within lncRNA sequences and combined it with e
 xperimental validation\, revealing stimulus-dependent localization dynamic
 s. In parallel\, optimization of a biotinylated RNA pulldown assay uncover
 ed novel lncRNA–protein interactions\, including a previously uncharacte
 rized regulatory mechanism involving SNHG14 and the identification of LINC
 01001 as a chromatin-associated lncRNA. Together\, these findings highligh
 t the power of combining language-inspired computational models with molec
 ular biology techniques to uncover hidden regulatory features of the non-c
 oding genome\n\n&nbsp\; 
LOCATION:Hybrid - in the Faculty Auditorium /ZOOM: https://technion.zoom.us
 /j/99663315043

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DTSTART:20251026T010000

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