SCALeS student seminar: "Computational prediction of RNA structural motifs: Identifying the targets of post-transcriptional regulatory processes."
Speaker: Michal Rabani , EECS
Date: March 20 2009
Time: 1:10PM to 2:00PM
Location: Monadnock Room, Broad Institute
Relevant URL: http://csbi.mit.edu/seminars/student_seminars.html
Dear all,
The next session of the SCALeS student seminar series in computational
and systems biology will take place this Friday, March 20, at 1pm.
This week, the seminar will occur in the Monadnock Room (room 2040) on
the second floor of the Broad Institute (at the corner of Ames Street
and Main Street).
Michal Rabani, EECS, will speak about:
"Computational prediction of RNA structural motifs: Identifying the
targets of post-transcriptional regulatory processes."
See the abstract provided at the bottom of this email for more information.
Around the talk, enjoy a delicious, provided lunch. We will start on
time at 1.10pm and finish officially at 2.00pm.
Also: Bring your friends - forward this email!
RSVP for food, so we know how much to order:
http://www.surveymonkey.com/s.aspx?sm=BVvHhIDAYWM1Z4qyha8FCg_3d_3d
We look forward to seeing you this Friday! If you have any questions,
contact christoph@mit.edu.
Sincerely,
Your SCALeS Team
To become part of a direct SCALeS mailing list, email "SCALeS" to
christoph@mit.edu.
Abstract:
mRNA molecules are tightly regulated, mostly through interactions with
proteins and other RNAs. But, the mechanisms that confer the
specificity of such interactions are poorly understood. It is clear,
however, that this specificity is determined by both the nucleotide
sequence and secondary structure of the mRNA. An important step
towards a better understanding of the regulatory information conveyed
within RNA molecules is to identify and portray such elements.
Therefore, we developed RNApromo, a computational tool for identifying
common structural motifs within RNAs, and used it to predict motifs
that specify certain post-transcriptional regulations. We predict
structural motifs in sets of mRNA with common decay rates or cellular
localization, and link them with binding preferences of several RNA
binding proteins. Finally, we analyzed pre-microRNA stem-loops and
identified structural differences between pre-microRNAs of animals and
plants, which provide insights into the mechanism of microRNA
biogenesis.
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