Hugheslab

From OpenWetWare

(Difference between revisions)
Jump to: navigation, search
Current revision (10:02, 30 May 2013) (view source)
 
(4 intermediate revisions not shown.)
Line 2: Line 2:
[[Image:CircadianClocks.png|x350px]]
[[Image:CircadianClocks.png|x350px]]
<br>
<br>
-
<p style="width:770px;">
+
<p style="width:750px;">
-
<font size="4">
+
<font size="3">
Our laboratory studies circadian rhythms as a model to better understand how the nervous system regulates
Our laboratory studies circadian rhythms as a model to better understand how the nervous system regulates
-
behavior and physiology.  We are especially interested in uncovering the molecular mechanisms
+
behavior and physiology.  We are especially interested in uncovering the mechanisms
-
driving rhythms of gene expression and determining how these molecular rhythms ultimately influence
+
driving gene expression rhythms and determining how these molecular oscillations ultimately influence
-
physiological rhythms.  We use a combination of approaches, including behavioral neuroscience, genetics,
+
physiological rhythms.  We use a combination of approaches, including ''behavioral neuroscience'', ''molecular biology'', ''genetics'',
-
genomics, and bioinformatics.
+
''genomics'', and ''bioinformatics''.
</font>  
</font>  
</p>
</p>
-
<br>
 
<br>
<br>
----
----
-
[[Image:UMSL_logo.jpg|left|100px]]<br>
+
[[Image:UMSL_logo.jpg|left|100px]]
<p style="font-size: 150%;">
<p style="font-size: 150%;">
 +
Hughes Lab<br>
[http://www.umsl.edu/~biology/ Department of Biology]<br>
[http://www.umsl.edu/~biology/ Department of Biology]<br>
University of Missouri, St. Louis<br>
University of Missouri, St. Louis<br>
-
(Starting in August, 2013)
 

Current revision

Home        Lab Members        Research        JTK_Cycle        Publications        Protocols        Courses        UMSL Genomics        Academic Analytics        Contact       



Our laboratory studies circadian rhythms as a model to better understand how the nervous system regulates behavior and physiology. We are especially interested in uncovering the mechanisms driving gene expression rhythms and determining how these molecular oscillations ultimately influence physiological rhythms. We use a combination of approaches, including behavioral neuroscience, molecular biology, genetics, genomics, and bioinformatics.




Hughes Lab
Department of Biology
University of Missouri, St. Louis

Personal tools