FACS for Fungi: revealing population heterogeneity among fungal pathogens via flow cytometry

نویسندگان
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Using flow cytometry to quantify microbial heterogeneity.

Flow cytometry is a powerful technique for the study of single cells, and thus it is of particular utility in the study of heterogeneity in microbial populations. This review seeks to highlight the role of flow cytometric analyses in studies of microbial heterogeneity, drawing wherever possible on recently published research articles. Whilst microbial heterogeneity is well documented in both na...

متن کامل

Paraformaldehyde fixation of hematopoietic cells for quantitative flow cytometry (FACS) analysis.

The objective of this study was to find a simple method to preserve cells for subsequent flow cytometry (FACS) analysis. We determined that fixation in 1% paraformaldehyde-0.85% saline solution did not significantly alter the Coulter volume, light scatter of fluorescence properties of the cells. This method was suitable for all cell types analyzed, including mouse, human and rat lymphoid cells,...

متن کامل

Direct demonstration of cytokine synthesis heterogeneity among human memory/effector T cells by flow cytometry.

The array of cytokines produced by T cells in effector sites is a primary means by which these cells mediate host defense. It is well recognized that cloned T cells are heterogeneous with regard to cytokine synthesis and, thus, in their ability to mediate specific immune responses, but the extent to which the patterns of cytokine secretion observed in cloned cells reflect actual populations of ...

متن کامل

Merging Mixture Components for Cell Population Identification in Flow Cytometry

We present a framework for the identification of cell subpopulations in flow cytometry data based on merging mixture components using the flowClust methodology. We show that the cluster merging algorithm under our framework improves model fit and provides a better estimate of the number of distinct cell subpopulations than either Gaussian mixture models or flowClust, especially for complicated ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Journal of Inflammation

سال: 2015

ISSN: 1476-9255

DOI: 10.1186/1476-9255-12-s1-o3