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Gene expression data were acquired from two independent sources: Expression data for 44760 probes applied to samples from 79 different tissue types were provided by GNF SymAtlas [41], [42].
In the present review, we have highlighted recent research findings in the area of hMSCs sources, expression of cell surface markers, long-term in vitro culturing, in vitro differentiation potential, immunomodulatory features, its homing capacity, banking and cryopreservation, its application in the treatment of chronic diseases and its use in clinical trials.
This information was gathered from multiple sources: Expression level and breadth: We used human gene expression data from Su et al. (2004) (U133A+ GNF1H data set, normalized using the MAS5 algorithm), which contain gene expression measures for 79 different tissues (or organs) with two replicates each.
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As Saccharomyces cerevisiae cannot utilize xylose as a carbon source, expression of XYL1 coding for xylose reductase (XR) from Scheffersomyces (Pichia) stipitis enabled production of xylitol from xylose with a high yield.
Aochi and Ide (2011) and Ide and Aochi (2013) attempted to characterize the Mw 9.0 2011 Tohoku-Oki earthquake based on this source expression and were able to dynamically simulate the growth of the rupture process from a small rupture through to the Mw 9 event.
First, the approaches implemented may help to identify potentially influential genes (e.g. STAT3, TGFB1, AKT1, SIN3A, PABPC1, MAP3K5), otherwise overlooked by single-source expression pattern analysis.
While representation in EST collections generally correlates with source expression level [ 29], artifacts can occur [ 30, 31].
More precisely, in the second source, expression data were retrieved and compared for the replicates of 79 physiological human tissues, provided by Su et al., 2004 [ 36].
We use the template cancer patient to obtain a cancer patient profile by adding biological variability to each source expression profile.
Signal sequence variants were generated by PCR amplification and all HRP genes were cloned into the shuttle vector pPpT4_alpha_S of a newly generated open source expression platform [ 64].
By assuming the observed signal to be the mixture of two unknown uncorrelated sources, an expression for the principal components (PC) of the set constituted by the signal and its k-sample delayed version is derived.
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