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<p class="MsoNormal" style="margin-bottom:8.0pt;line-height:105%"><span style="font-size:14.0pt;line-height:105%">Join us Tuesday, March 14 for the School of Plant Sciences Seminar. Our speaker, Dr. Nicholas Provart, will be presenting in Marley 230. Online
attendance will be available on Zoom. Refreshments prior to the start of the presentation will be from 3:30 p.m. - 4:00 p.m. in the Marley lobby.<o:p></o:p></span></p>
<p class="MsoNormal" style="margin-bottom:8.0pt;line-height:105%"><b><span style="font-size:14.0pt;line-height:105%">Title:</span></b><span style="font-size:14.0pt;line-height:105%"> Raising the BAR for Hypothesis Generation in Plant Biology: Guard Cell Drought
Transcriptomes Use Case<br>
<b>Speaker:</b> Dr. Nicholas Provart, Professor, Department of Cell & Systems Biology, University of Toronto<br>
<b>Day/Time:</b> Tuesday, March 14, 4:00 p.m.<br>
<b>Zoom Link:</b> <span style="color:#FFFF99">-<a href="https://arizona.zoom.us/j/88614287572">https://arizona.zoom.us/j/88614287572</a><br>
</span><b>Password:</b> spls2023<br>
<b>Host: </b>Dr.<b> </b>David Galbraith<span style="color:#FFFF99"><o:p></o:p></span></span></p>
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Description automatically generated"><o:p></o:p></p>
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<b><span style="font-size:10.5pt;font-family:"MiloWeb-Text",serif;color:#333333">Abstract</span></b><span style="font-size:10.5pt;font-family:"MiloWeb-Text",serif;color:#333333"><br>
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We have developed tools, available as part of the Bio-Analytic Resource (BAR) at <a href="http://bar.utoronto.ca/"><span style="color:#337AB7">http://bar.utoronto.ca</span></a>, for exploring large data sets from plants, to allow deeper insights into biological
questions. My lab’s three visual analytic tools for transcriptomic data (eFP Browser, ePlant, and eFP-Seq Browser) allow for rapid access to comprehensive gene expression compendia we have curated for identifying tissues, cell-types, or perturbations in which
a gene is active or alternatively spliced. Interactions, be they protein-protein or regulatory, create networks. We have developed new tools for exploring such data, either from large collections of experimentally-supported protein-protein or protein-DNA interactions
or from predicted interactions, including protein-protein interactions inferred from molecular docking studies. Our lab is also interested in generating data to help understand drought responses and we have modified the INTACT system to isolate transcriptomes
from guard cells and whole leaves of plants subject to slowly developing drought. Using some of the above-mentioned tools and other bioinformatic analyses, we have been able to show that guard cells exhibit unique patterns of response both at early and later
stages of drought. Thermal imaging of reverse genetic lines, prioritized in part using BAR tools, suggests the physiological importance several differentially expressed genes in guard cells from droughted plants. <o:p></o:p></span></p>
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<span style="font-size:10.5pt;font-family:"MiloWeb-Text",serif;color:#333333">Nicholas Provart is a full professor of Plant Cyberinfrastructure and Systems Biology and is chair of the Department of Cell & Systems Biology at the University of Toronto. Currently
his Bio-Analytic Resource (BAR) at bar.utoronto.ca, comprising tools for coexpression analysis of publicly-available gene expression data, cis-element prediction, identifying molecular markers, generating “electronic fluorescent pictographic” (eFP) representations
of gene expression patterns, and exploring protein-protein interactions in Arabidopsis and other plants, receives 4M page views a month by researchers worldwide. He is one of the founding members of the International Arabidopsis Informatics Consortium, is
president of the Multinational Arabidopsis Steering Committee, and is teaching two MOOCs on Bioinformatic Methods on Coursera.org, with a 3rd released in December 2018 and a capstone rounding out a Plant Bioinformatics specialization in 2019. He was a Clarivate
Highly Cited Researcher for three years.<o:p></o:p></span></p>
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