Normalizing expression in heterogenous tissue

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Normalizing expression in heterogenous tissue

Postby aaronpfrank » Tue Mar 15, 2016 9:28 pm

We have recently performed an experiment looking at the effect of TreatmentX on Gene1 and Gene2 expression in adipose tissue.

We used two groups: Group1 is the control group. Group 2 is the TreatmentX group.

Gene1 is expressed only in adipocytes.

TreatmentX reduced adipose tissue mass in Group2 when compared to Group1.

My question is as follows:
I want to see the expression level of Gene2 in cells that express Gene1. The problem is that adipose is a heterogeneous tissue, and many cell types found in adipose do not express Gene1. Moreover, the overall differences in adipose mass between the two groups suggest that the relative proportion of adipocytes and other cell types in the adipose differs between the two groups. Is there a way to “normalize” the qPCR data so that I am only looking at Gene2 expression in cells expressing Gene1? Or do I need to design a single cell qPCR experiment??
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Re: Normalizing expression in heterogenous tissue

Postby Mikael Kubista » Tue Apr 26, 2016 8:42 am

Sound like single cell sorting would help. Note, the sorted cells can still be analyzed in bulk (which is cheaper than single cell profiling). It's just purer populations. If you need help contact us at: com.
Mikael Kubista
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