Sentence examples for multiple tissues or from inspiring English sources

Drugs designed to act against individual molecular targets cannot usually combat multifactorial diseases like cancer, or diseases that affect multiple tissues or cell types such as diabetes and immunoinflammatory diseases.

Drugs designed to act against individual molecular targets cannot usually combat multigenic diseases such as cancer, or diseases that affect multiple tissues or cell types such as diabetes and immunoinflammatory disorders.

This agrees with the hypothesis that previously identified microRNAs are more commonly expressed in multiple tissues or stages of development.

Mice overexpressing Tcf7l2 either in multiple tissues or specifically in the liver display impaired glucose tolerance (9, 15).

Deun et al. developed a Bayesian method to find the genes that are differentially expressed in a single tissue or condition over multiple tissues or conditions [ 17].

When a gene is expressed in multiple tissues or cells at relatively constant levels, regulatory control may be common across the tissues.

By measuring gene expression levels related to multiple individuals and multiple tissue or tumor samples, investigators can discover molecular markers to be used for cancer diagnosis, prognosis, and prediction.

We found the variation in retention times for the method described to be under 1.25%, as tested for multiple tissue or cell types over an extended period of time (over 18 months) for multiple UPLC C18 columns [ 32], therefore confirming retention time is a reliable parameter for the purpose of identification.

Mastocytosis is a heterogeneous disorder that results from clonal mast cell proliferation (myeloproliferative neoplasm), characterized by excessive mast cell accumulation in skin (cutaneous form) or multiple tissues, with or without skin involvement (systemic form) [ 67, 68].

However, no whole genome scale miRNA identification and expression comparison among multiple tissues types or developmental stages has been done.

It can determine the expression level of transcripts with a dynamic range of over six orders of magnitude from multiple tissues, developmental stages or conditions.