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Mr. Khalid Alsatami Ph.d Defense

A study on dicycles and
Eulerian subdigraphs

Date: 4/6/2016
Time: 3:40PM-5:00PM
Place: 315 Armstrong Hall

All are welcome.

Date, Location: 
2016-04-06

Prof. Etienne Part of Team Detecting Last Prediction From Einstein

Zach Etienne was part of the
collaboration that detected last prediction from Einstein.

Read about it Here and Here

Date, Location: 
2016-03-31

2016 Integration Bee

Third Annual Integration
Bee Contest

This will be an integration contest open to all WVU students.
All integrals can be solved by techniques of Math 156.

More information can be obtained from the following links.
Website
Flyer
Rules

Please direct questions/comments:
Casian Pantea: cpantea@math.wvu.edu
Charis Tsikkou: tsikkou@math.wvu.edu

Date, Location: 
2016-03-15

Ms. Murong Xu Prospectus 3/3/2016

A study on graph coloring and digraph connectivity

Date: 1/29/2016
Time: 3:40PM-5:30PM
Place: 315 Armstrong Hall

Murong Xu

Everyone is invited. Following the talk and any discussion there will be an oral examination by his committee that is otherwise open only to graduate faculty that wish to attend in an observing capacity.

Research Prospectus: Download

Date, Location: 
2016-03-03

Mr. Mansour J. Algefari Ph.D Defense 2/17/2016

On supereulerian digraphs

Date: 2/17/2016
Time: 3:30PM-5:00PM
Place: 315 Armstrong Hall

All are welcome.

Date, Location: 
2016-02-17

Mr. Khalid A. Alsatami Prospectus 1/27/2016

A study on Dicycles
and Eulerian Subdigraphs

Date: 1/27/2016
Time: 3:40PM-5:30PM
Place: 306 Armstrong Hall

Khalid A. Alsatam

Everyone is invited. Following the talk and any discussion there will be an oral examination by his committee that is otherwise open only to graduate faculty that wish to attend in an observing capacity.

Date, Location: 
2016-01-27

NSF Grants Awarded

The following faculty were awarded NSF grants. Congrats!

Cun-Quan Zhang: PDF
Eddie Fuller / Jessica Deshler: PDF
Casian Pantea: PDF

Date, Location: 
2015-12-11

Ms. Shadisadat Ghaderiis's Prospectus

Date: 12/3/2015
Time: 12:00PM-2:00PM
Place: 313 Armstrong Hall

Shadisadat Ghaderiis

Everyone is invited. Following the talk and any discussion there will be an oral examination by her committee that is otherwise open only to graduate faculty that wish to attend in an observing capacity.

Date, Location: 
2015-12-03

Vicki Sealey named Bolton Professor

Congratulations to Professor Sealey. Learn about the
Bolton Professorship here.

Date, Location: 
2015-12-01

Ms. Emine Guven Ph.D Defense 11/18/2015

Validation of a Predictive Model of Spontaneous Clustering
of Receptors on the Cell Membrane

Date: 11/18/2015
Time: 2:30PM-4:00PM
Place: 121 Armstrong Hall

All are welcome.

Abstract: Membrane receptors are specialized membrane-bound proteins that facili-
tate communication between the intracellular and extracellular membrane.
They control signal initiation in many import cellular signaling pathways.
Cell signaling (or signal transduction) provides the logical inputs individ-
ual cells need in order to perform their role in the context of the organism.
Signaling molecules such as hormones, neurotransmitters or growth factors,
are secreted by cells in the organism as a result of certain conditions; the
cells receiving the signal change (or maintain) their state in response to the
signaling input. The incoming information is processed and the response is
formulated by a complex bio-molecular network.

For many ligand / receptor
families, receptor dimerization or cross-linking is a necessary step for activa-
tion, making signaling pathways sensitive to the distribution of receptors in
the membrane. Microscopic imaging and modern labeling techniques reveal
that certain receptor types tend to co- localize in clusters. The origin of
these clusters is not well understood; they are likely not the result of chemi-
cal binding, but of a pre-existing micro-domain structure of the membrane.
In this work, we validate and implement a spatial stochastic model of clus
tering in order to clarify the mechanism behind cluster formation, as well
as to estimate its effect on signaling based on the hypothesis of pre-existing
domains that have a high affinity for receptors.

We focus on vascular endothelial growth factor (VEGF) receptor. VEGF is
a protein that is involved in the process of the growth of blood vessels and
maintenance. The static snapshots of the clustering of VEGF receptors are
produced by fixing the cells and then labeling them with nano-gold particle.
Then the snapshots of the cell membrane imaged by using high-resolution
transmission electron microscopy. Members of the VEGF family stimulate
cell responses by binding to the membrane-bound receptors (VEGFR), which
in turn stimulates receptor dimerization. In this contribution we develop a
method of defining receptor clustering in the membrane based on their mu-
tual distance, and apply it to a set of transmission microscopy (TEM) images
of VEGF receptor.

We develop domain construction algorithm and apply it
to characteristic length and further describe the clustering domains quanti-
tatively. We estimate the area, perimeter and attractiveness of the clustering
domains. Based on the spatial organization of receptors networks on the cell mem-
brane, we elaborate quantitative criteria to characterize receptor clustering.
We verify that the receptor network based on quantitative relations which are
derived using simple geometrical arguments by performing Monte Carlo sim-
ulations We show that our results are consistent with the observed random
placement of receptors within the clusters and the placement of the clusters
on the cell membrane. We use the pre-existing domain model to calculate the
probability distribution of cluster sizes. We compare experimental results to
estimate the quantitative characteristics of the clustering domains.

Date, Location: 
2015-11-18

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