Sentence examples for number of proliferation from inspiring English sources

Microvascular proliferation was expressed as average number of proliferation microvessels with Ki-67-positive endothelial cells of all fields examined (proliferating vessels per mm).

We then calculated the rate of cell survival by comparing, within each animal, the number of 3-week-old BrdU-IR cells to the number of proliferation KI67 cells.

In a xenograft model of glioblastoma in which GPR55 was silenced, it reduced the number of proliferation cells within the tumors and slowed tumor growth.

It was illustrated by increased levels of IL18 (Fig. 5A), decreased levels of IL10 (Fig. 5A), the higher index of kidney injury score (Fig. 5D) and the lower number of proliferation marker Ki-67cells (Fig. 5E).

This result can be understood by considering that differentiation occurs after a certain number of proliferation cycles and 2 days more in culture allow more proliferation and differentiation, i.e. plasma cells.

Of these, the 21-gene recurrence score (RS; OncotypeDX, Genomics Health Inc., Redwood City, CA, USA) incorporates semi-quantitative analysis of ER and downstream genes, HER2 and associated genes, a number of proliferation genes, and selected genes that are ostensibly related to cell survival and metastatic potential, using a multiparameter assay based on RT-PCR [ 18].

Likewise, the complete set of genes involved in cholesterol biosynthesis was strongly co-upregulated (fig. 5d, table S6), as were a number of proliferation-associated kinases (table S8).

In a number of different mammalian cell lines ERK/MAPK activation has often been associated not only with cellular growth and proliferation induced by a number of proliferation-inducing agents [17], [18] but also with different stresses like heat shock, arsenite and oxidative stress [19] [21].

Multivariate genomic assays that take input from ER and human epidermal growth factor receptor 2 (Hexpressionssion as well as from a number of proliferation-related genes can stratify ER-positive cancers into low and high risk prognostic groups objectively and this information is additive or complementary to prognostic risk based on tumor size and nodal status.

The crux of the problem appears to be the large number of proliferation-related genes in the breast cancer transcriptome itself, given that the authors found that 58% of the microarray probes used for the analysis of the NKI-295 dataset were correlated with meta-PCNA [ 11].

Then, we analyzed the number of proliferating cells using the proliferation marker Ki-67.