Réf. : Re: Smallest possible cell number for (preferably flow) cytometry

From: <Eric.Rheaume@icm-mhi.org>
Date: Fri May 12 2006 - 12:54:32 EDT
Hi everybody!

Thanks to all of you who sent suggestions directly to me. Many comments
were made to me regarding adding or pre-coating with BSA to all plastics
that come in contact with cells, optimizing volumes and using smallest
possible polypropylene tubes and centrifugation times and g forces. I
mainly received discouraging comments about the beads idea, although 2 of
you seamingly had some improvements with beads.

While these are the kind of comments I was after, after receiving Dr
Shapiro's comments and discussing with my staff, I realized that
effectively the separation of our positive versus negative populations is
usually pretty poor.

Here is more details: We want to characterize a cell population of rabbit
endothelial progenitor cells grown in culture... Most of you will know that
finding antibodies that work with rabbits is not trivial, but even for our
human cell projects, the separation on markers such as CD34 and KDR is
rarely sharp. So we actually use anti-human Ab that cross-react with rabbit
Ag. At the moment we use a directly labeled CD34 but undirectly labeled KDR
(we have plan to switch to a directly-labeled KDR Ab). We are looking for
endothelial markers like VE-cadherin or PECAM1 that work in rabbits, but
have not been successful so far. At the very best, the positive peak
overlaps on the negative peek by approximately 50% of the surface under
peak. As far as CV, I would be pretty confortable for these measurements
with a pretty high CV as the results we are after only need to be kind of
qualitative, ie, be able to say that about 15 to 25% of the cells express
CD34 and about 65 to 85% express PECAM, for example.

The other step where we lose cell counts is the increased mortality after
the labelings/washings. While we start with more than 80% live cells, we
end up with about 40% live cells...

I don't know if it is possible now with these added information to comment
on the minimal number of cells we would need... Maybe you will have even
more questions to do this evaluation. I realize it started as a bit naive
question on my side... but I really thank you all for your comments.

Eric




								       					      De :		       					       Howard Shapiro <hms@shapirolab.com>					   
								       					      Pour :		       					       Eric.Rheaume@icm-mhi.org, Cytometry Mailing List			   
					       <cytometry@flowcyt.cyto.purdue.edu>					   
					      cc :		       					      Objet :		       					       Re: Smallest possible cell number for (preferably flow)  cytometry	   
								       	  05/11/2006 09:47 PM					       								       								       






Éric Rhéaume wrote:

>I have a basic yet critical question for us, about just how small the cell
>number could be scaled down to characterize (2-3 color analysis) a
>sub-population of cells representing approximately 5-20% of the total cell
>population. Our cell samples are very modests in size but we need to do a
>minimal cell characterization. Beside the maths, from talking to people
who
>do flow cytometry experiments, it appears that one of the limiting factors
>is the increased cell loss with smaller number of cells during the washing
>steps for stainings.
>
>Is there any way (beside decreasing washing volumes and using BSA) to
>increase the yield on less than 50 to 100 k cells samples? Are there some
>additives that could be used? Could adding cell counting beads to increase
>the pellet volume, be a good idea? Any experience with that or a similar
>approach and which beads should be used? Our goal would be to do the
>labellings on say... about 10 000 cells... Suggestions for newcomers to
>microscopy analysis are also welcome (critical factors, software,
>protocols)...

It is really not possible to answer the question
without knowing how you plan to "characterize"
the cells. If you have a 5% to 20% cell
population, and you analyze a total of 10,000
cells, you will collect data from 500 or so cells
at the low end of the range and from 2,000 cells
at the high end. With respect to the cell counts
themselves, the precision on a 500 cell count can
be no better than 4.4% (Poisson statistics); that
on a 2000 cell count can be no better than 2.2%,
so, if you are looking for substantial changes in
the fraction of your overall population
representing your cells of interest, you could
probably get away with analyzing 10,000 cells.
Bear in mind, however, that selective losses
during washing steps can also affect your
measurement precision, always for the worse.

If, on the other hand, you wanted to measure DNA
content and use mathematical modeling to compute
the fraction of your cells of interest in each
phase of the cell cycle, you'd probably need at
least 10,000 of those cells, meaning you'd need
to analyze 50,000 to 200,000 cells overall. Most
mathematical modelers would prefer 50,000 cells
of interest, and that raises the ante.

If you are characterizing the population of
interest simply by phenotype, the breadths of the
distributions of fluorescence associated with
each of the markers measured, and the distances
between "positives" and "negatives," make a
difference; if you cannot completely discriminate
between your cells of interest and the rest of
the population, it becomes difficult to make any
statement about the cells of interest.

Adding beads to increase the pellet volume does
not sound like a good idea; you'd need at least
as many beads as cells to even double the pellet
volume, meaning you'd have to analyze at least
twice as many events to collect data from your
cells of interest, and the beads might also stick
to the cells or otherwise interfere with characterization.

Rephrasing the question with more specifics will
probably get you a more specific answer.

-Howard




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Received on Mon May 15 16:38:00 2006

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