11810 results for "cancer rna-seq"

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• Mapping the human hematopoietic stem and progenitor cell hierarchy through integrated single-cell proteomics and transcriptomics

  Single-cell transcriptomics (scRNA-seq) has enabled the characterization of cell state heterogeneity and recapitulation of differentiation trajectories. However, since proteins are the main functional entities in cells, the exclusive use of mRNA measurements comes at the risk of missing important biological information. Here we leverage recent technological advances in single-cell proteomics by Mass Spectrometry (scp-MS) to generate the first scp-MS dataset of an in vivo differentiation hierarchy encompassing over 2,500 human CD34+ hematopoietic stem and progenitor cells. Through integration with scRNA-seq, we identify proteins that are important for stem cell quiescence, which were not indicated by their mRNA transcripts, and demonstrate functional expression covariance during differentiation that is only detectable on protein level. Finally, we show that modeling translation dynamics can infer cell progression during differentiation and explain 45% more protein variation from mRNA than linear correlation. Our work serves as a framework for future single-cell multi-omics studies across biological systems.

  Study EGAS00001007930

• Single cell RNA sequencing of relapsed/refractory multiple myeloma

  Study EGAS00001004805

• SF6996

  RNA-exome

  Dataset EGAD00001006760

• SF12165

  RNA-exome

  Dataset EGAD00001006745

• SF9135

  RNA-exome

  Dataset EGAD00001006747

• SF10750

  RNA-exome

  Dataset EGAD00001006748

• SF8963

  RNA-exome

  Dataset EGAD00001006764

• SF10931

  RNA-exome

  Dataset EGAD00001006765

• SF4324

  RNA-exome

  Dataset EGAD00001006766

• Gene expression matrix

  Log2 gene expression count data from RNA sequencing.

  Dataset EGAD00001008793