RE: CFSE graphs (UNCLASSIFIED)

Classification:  UNCLASSIFIED 
Caveats: NONE

Verity's MODFIT software has a very nice tool for proliferation analysis
of CFSE peaks. I'd use that before doing it manually.

Doug

Douglas S. Reed, Ph.D.
Team Leader, Animal Studies
Center for Aerobiological Sciences
U.S. Army Medical Research Institute of Infectious Diseases
1425 Porter Street Fort Detrick
Frederick, MD 21702-5011
(301) 619-6728	  (301) 619-6911 fax
doug.reed@det.amedd.army.mil


-----Original Message-----
From: McCloskey, Thomas [mailto:thomasm@NSHS.edu] 
Sent: Tuesday, March 27, 2007 2:01 PM
To: cyto-inbox
Subject: RE: CFSE graphs

	A powerful way to analyze CFSE data is to calculate "precursor
frequency" or the % of the starting population which divided in response
to the stimulus.  Some software can do this automaticaally [such as
Flowjo].  If you have discrete peaks, you can also calculate it
manually.  The idea is that in the one division peak, two cells came
from one starting cell.  In the two division peak, four cells came from
one original cell, and so on.  You end up with the number of cells which
divided and by comparing to those cells which did not divide [the first
peak or no division peak] , byou now have the precursor frequeecncy for
that stimulus. 

Good luck,
Tom

************************************************************************
*****
Thomas W. Mc Closkey, Ph. D.
Assistant Investigator, Center for Immunology & Inflammation The
Feinstein Institute for Medical Research, North Shore University
Hospital Assistant Professor of Pediatrics, New York University School
of Medicine Biomedical Research Center, 350 Community Drive Manhasset,
Long Island, New York 11030
ph:  516-562-4844 [office], 516-562-1084 [lab]
************************************************************************
*****



>>>-----Original Message-----
>>>From: Erietta Stelekati [mailto:este@fz-borstel.de] 
>>>Sent: Monday, March 26, 2007 6:58 AM
>>>To: Cytometry Mailing List
>>>Subject: CFSE graphs
>>>
>>>Dear all,
>>>I want to compare 3 pictures of CFSE proliferation. I can see 
>>>differences in the percentage of cells in each pick. But how 
>>>do I put 
>>>all the data together and decide if it is a statistically 
>>>significant 
>>>result? I can make a graph with the percentage of cells in 
>>>each pick, 
>>>but then I have to compare the percentages in each one of 
>>>the 5-6 picks, 
>>>which makes my point (more or less proliferation) not easy 
>>>to deliver... 
>>>Should I , for example, compare only the "non-proliferating" 
>>>cells (= 
>>>first pick) with all the others together? Or only the "most 
>>>proliferating cells" (= last pick)?
>>>Thank you in advance for any suggestions!
>>>Erieta Stelekati
>>>
>>>



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Classification:  UNCLASSIFIED 
Caveats: NONE