Significados de cell states en inglés

Pluripotency is increasingly recognized as a spectrum of cell states defined by their growth conditions.

Future studies should reveal the molecular basis for the differences in activities between the different cell states.

Such large distributions complicate the statistical evaluation of pharmacological treatments and the comparison of different cell states.

Our work highlights the superior power of proteome profiles to study protein complexes and their variants across cell states.

Second, we define quantitative measures of dynamical modularity, namely that global cell states are discrete combinations of switch-level phenotypes.

Single- cell transcriptomics has transformed our ability to characterize cell states, but deep biological understanding requires more than a taxonomic listing of clusters.

Modifications of DNA cytosine bases and histone posttranslational modifications play key roles in the control of gene expression and specification of cell states.

We demonstrate that compositional signatures of variable protein complexes have discriminative power beyond individual cell states and can distinguish cancer cells from healthy ones.

The need to derive and culture diverse cell or tissue types in vitro has prompted investigations on how changes in culture conditions affect cell states.

The complex interrelationships between pluripotency and chromatin factors are illustrated by X chromosome inactivation, regulatory control by noncoding RNAs, and environmental influences on cell states.

Ensembles with as many as 10,000 cells are used to simulate population synchronization and to compute transient number distributions from asynchronous initial cell states.

We sequenced 24,985 Hydra single- cell transcriptomes and identified the molecular signatures of a broad spectrum of cell states, from stem cells to terminally differentiated cells.