Sentence examples for differing gene expression profile from inspiring English sources

Exact(2)

The fourfold-greater increase in aerobic fitness and markedly differing gene expression profile in the HRG indicates that these ECM genes may be critical for physiological adaptation to exercise in humans.

The early detection of ATOH8 transcripts in the hypaxial myotome of the trunk highlights yet another differing gene expression profile to add to the known list of markers in the myotome (Cheng et al. 2004; Ahmed et al. 2006).

Similar(58)

Microarray analysis has identified breast cancer subtypes with differing gene expression profiles [ 10, 11].

However, there is experimental evidence of gene expression regulation in Buchnera, since nutritional osmotic stress or organ and embryonic stage specificities are associated with differing gene expression profiles [ 11, 12].

Our aim with the present study was to investigate how patients' livers differ in gene expression profile compared to controls and how the differentially expressed genes could affect the disease progress.

The microarray analysis indicated that resistant plants differ in gene expression profile.

And in this case (as opposed to 156 profiles) it would be logical since eutopic and ectopic endometria should substantially differ in gene expression profile.

Diffuse large B-cell lymphoma (DLBCL) is a heterogeneous diagnostic class of lymphomas comprising molecularly distinct subtypes that differ in gene expression profile, oncogenic aberrations, clinical presentation and outcome.

In melanoma, cell subpopulations have been characterized that differ in gene expression profiles, proliferation rates, and invasiveness; leading to the definition of so-called proliferative and invasive phenotypes that correlate with relatively high and low expression, respectively, of the melanocyte lineage determinant MITF (Hoek et al., 2006, 2008).

Existing static methods for testing significance of TDE genes in time series RNA-seq data do not consider temporal stochastic ordering dependency property in time, which differs from a typical gene expression profile data, and all static methods assume samples that are distributed independently and are not related to each other instead.

Similar to the U251 model, this model shows significant gene expression profile differences between differing in vivo growth conditions (e.g. subcutaneous and intracranial) (Camphausen et al., 2005).

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