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Ultra-fast and optimized method for the preparation of rodent testicular cells for flow cytometric analysis.


ABSTRACT:

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Homogeneity of cell populations is a prerequisite for the analysis of biochemical and molecular events during male gamete differentiation. Given the complex organization of the mammalian testicular tissue, various methods have been used to obtain enriched or purified cell populations, including flow cell sorting. Current protocols are usually time-consuming and may imply loss of short-lived RNAs, which is undesirable for expression profiling. We describe an optimized method to speed up the preparation of suitable testicular cell suspensions for cytometric analysis of different spermatogenic stages from rodents. The procedure takes only 15 min including testis dissection, tissue cutting, and processing through the Medimachine System (Becton Dickinson). This method could be a substitute for the more tedious and time-consuming cell preparation techniques currently in use.

Electronic supplementary material

The online version of this article (DOI:10.1007/s12575-009-9003-2) contains supplementary material, which is available to authorized users.

SUBMITTER: Rodriguez-Casuriaga R 

PROVIDER: S-EPMC3055716 | biostudies-literature | 2009 Mar

REPOSITORIES: biostudies-literature

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Ultra-fast and optimized method for the preparation of rodent testicular cells for flow cytometric analysis.

Rodríguez-Casuriaga Rosana R   Geisinger Adriana A   López-Carro Beatriz B   Porro Valentina V   Wettstein Rodolfo R   Folle Gustavo A GA  

Biological procedures online 20090306


<h4>Unlabelled</h4>Homogeneity of cell populations is a prerequisite for the analysis of biochemical and molecular events during male gamete differentiation. Given the complex organization of the mammalian testicular tissue, various methods have been used to obtain enriched or purified cell populations, including flow cell sorting. Current protocols are usually time-consuming and may imply loss of short-lived RNAs, which is undesirable for expression profiling. We describe an optimized method to  ...[more]

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