An article published this year in “PEERJ” using our propidium iodide/RNAse
solution,
by our customers from Department of Cellular and Molecular Biology, Centro de
Investigaciones Biológicas, Spanish National Research Council (CSIC), Madrid,
Spain, in the analysis of how Differential gene expression analysis by RNA-seq
reveals the importance of actin cytoskeletal proteins in erythroleukemia cells.
Congrats and Thanks.
Summary:
Development of drug resistance
limits the effectiveness of anticancer treatments. Understanding the molecular
mechanisms triggering this event in tumor cells may lead to improved
therapeutic strategies. Here we used RNA-seq to compare the transcriptomes of a
murine erythroleukemia cell line (MEL) and a derived cell line with induced
resistance to differentiation (MEL-R). RNA-seq analysis identified a total of
596 genes (Benjamini–Hochberg adjusted p-value < 0.05) that were
differentially expressed by more than two-fold, of which 81.5% (486/596) of
genes were up-regulated in MEL cells and 110 up-regulated in MEL-R cells. These
observations revealed that for some genes the relative expression of mRNA
amount in the MEL cell line has decreased as the cells acquired the resistant
phenotype. Clustering analysis of a group of genes showing the highest
differential expression allowed identification of a sub-group among genes up-regulated
in MEL cells. These genes are related to the organization of the actin
cytoskeleton network. Moreover, the majority of these genes are preferentially
expressed in the hematopoietic lineage and at least three of them, Was (Wiskott
Aldrich syndrome), Btk (Bruton’s tyrosine kinase) and Rac2, when mutated in
humans, give rise to severe hematopoietic deficiencies. Among the group of
genes that were up-regulated in MEL-R cells, 16% of genes code for histone
proteins, both canonical and variants. A potential implication of these results
on the blockade of differentiation in resistant cells is discussed.
Reference:
Product link:
CELL CYCLE ANALYSIS (PI / RNASE): http://www.immunostep.com/60-cell-cycle-analysis-pi-rnase
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