Sentence examples for cells data in from inspiring English sources

We used the L function, a variance-stabilized version of the Ripley's K function which allowed us to detect deviations from spatial homogeneity, to analyze the point processes generated from the T and B cells data in each lymph node cross section, and compare the spatial grouping patterns of the T and B cells in tumor-free areas in each of the TDLNs and HLNs.

Use of stable isotope labeling by amino acids in cell culture (SILAC) resulted in the identification of 2157 proteins in the three protein lysates used (untransfected, empty vector, and SRSF1-transfected HEK 293T cells) (data in Supplementary file 2 at Dryad: Maslon et al. (2014)).

PS1 and WT mice displayed not differences and lithium treatment of PS1 mice did not alter the expression of either SOM or NPY neuropeptides (see Figure  2A) or the number of SOM or NPY positive cells (data in Figure  2C were pooled from WT, PS1 control and lithium groups).

contributed to the Treg cell data in Extended Data Fig. 4a, e, f.

Cell types were semi-automatically identified using hierarchical clustering of down sampled cell data in surface-marker space.

Single cell data in surface-marker space were down sampled to 2,000 K-means clusters and hierarchically clustered.

Unfortunately, it has not proved possible to reproduce these cell data in animal models that lack the α2-subunit, because Atp1a2 knockout mice have a severe phenotype and die immediately after birth because of their inability to start breathing [46].

This expectation was borne out, but the single-cell data (in aggregate) do asymptote at approximately the same level.

The challenge in the future will be to use these single cell data in concert with functional studies to understand the precise combinations of TFs that RPCs use to generate all the distinct subtypes of retinal neurons.

First, we had whole cell data in which spatial information was hidden by summing up the changes in β-catenin within subcellular compartments (see Figure  4A).

The goal of the present work is to present the models and their basic fit to single cell data, in preparation for future large network studies.