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Title[redir]:
Single-cell transcriptomics reveals bimodality in expression and splicing in immune cells - PMC
Description:
Recent molecular studies have revealed that, even when derived from a seemingly homogenous population, individual cells can exhibit substantial differences in gene expression, protein levels, and phenotypic output1β5, with important functional ...
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Keywords {π}
cells, doi, genes, expression, fig, supplementary, singlecell, single, levels, cell, pubmed, google, scholar, pmc, article, expressed, highly, free, irf, splicing, response, nature, variation, population, heterogeneity, rnafish, variability, gene, rnaseq, lps, average, bmdcs, individual, transcripts, antiviral, data, rna, differences, stat, table, maturation, observed, level, tpm, analysis, nihmssupplementxls, xls, science, patterns, regulatory,
Topics {βοΈ}
e-cadherin-mediated adhesion induces amplification-free imaging technique2 transcriptome-amplified cdna products single-cell qrt-pcr analysis full-length mrna-seq single-cell mass cytometry single-cell transcriptional landscape rna-seq read densities multiparameter single-cell data single-cell qrt-pcr pmc beta search single-cell rna-seq single-cell expression profiles highly multiplex rna-seq recent population-scale study16 mid-log yeast cells pathogen-dependent maturation results single-cell gene expression single-cell sequencing results rna-fish closely mirrored distinct maturity states low population-level expression publisher site pdf stat-regulated antiviral genes final edited form unsorted bone marrow single-cell data constructed cdna libraries human hematopoietic continuum single-cell level rna-seq data pathogen-dependent maturation deciphering cell states redefine cell states nuclear localization nonsense-mediated decay27 single-cell genomics single-cell measurements single-cell genomics single-cell quantification dendritic cell maturation robust transcriptional program pathogen-derived ligands single-cell levels unique molecular identifiers inferring cellular networks single cell average single-cell average οΏ½averageβ single cell reconstructing cell circuits28
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