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The dynamics of cellular response to therapeutic perturbation using multiplexed quantification of the proteome and transcriptome at single-cell resolution

ABSTRACT: We developed a scalable assay permitting the simultaneous quantification of hundreds of proteins and the full transcriptome in thousands of individual cells from samples where cell number is limiting. The RNA Expression and Protein Sequencing assay (REAP-seq) uses DNA-labeled antibodies to permit DNA sequencing of both mRNA and antibodies in a single workflow using droplet microfluidics. We describe the development and validation of REAP-seq in human PBMCs, and use the assay to assess the costimulatory effects of an anti-CD27 agonist antibody in naïve CD8+ lymphocytes. Protein quantification using REAP-seq was more sensitive than parallel mRNA measurements and differentiated cell states with fewer analytes. Unbiased profiling of single cells without prior selection enabled identification and characterization of an unexpected cell type that would have been missed with population-averaged profiling methodologies.

ORGANISM(S): Homo sapiens

PROVIDER: GSE100501 | GEO | 2017/08/28

SECONDARY ACCESSION(S): PRJNA391958

REPOSITORIES: GEO

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Project description:CD8+ and CD4+ T cells from HIV infected patients with HIV-RNA viremia of >50 copies/ml and CD8+ and CD4+ T cells from healthy controls were isolated by negative selection (Miltenyi Biotech, Auburn, CA). Cell sorting of the CD4 and CD8 T cell subsets were performed based on surface staining of CD3+CD8+ or CD3+CD4+ and na ve CD45RA+CD27+CD127highHLA-DRlow, and CD3+CD8+ or CD3+CD4+ and memory CD45RA-CD27+CD127highHLA-DRlow. Sorted cell populations were spun down and stored as dry pellets at -80M-BM-0C. Samples analyzed by transcript levels of genes related to cytokine signaling were determined by the JAK/STAT Signaling Pathway microarray. CD8+ and CD4+ T cells from HIV infected patients with HIV-RNA viremia of >50 copies/ml and CD8+ and CD4+ T cells from healthy controls were isolated by negative selection (Miltenyi Biotech, Auburn, CA). Cell sorting of the CD4 and CD8 T cell subsets were performed based on surface staining of CD3+CD8+ or CD3+CD4+ and naM-CM-/ve CD45RA+CD27+CD127highHLA-DRlow, and CD3+CD8+ or CD3+CD4+ and memory CD45RA-CD27+CD127highHLA-DRlow. Sorted cell populations were spun down and stored as dry pellets at -80M-BM-0C. Samples analyzed by transcript levels of genes related to cytokine signaling were determined by the JAK/STAT Signaling Pathway microarray (http://www.sabiosciences.com/rt_pcr_product/HTML/PAHS-039A.html, SABiosciences Frederick, MD). Briefly, total RNA was harvested from each individual T cell subset from each patient or healthy control and contaminating DNA was digested with DNase. Messenger RNA was converted to cDNA and loaded onto PCR array plates for quantitative real-time PCR. Quantification of transcript levels was determined by normalizing to 5 housekeeping genes from each individual sample. Relative gene expression levels for each subset were averaged and compared between cell populations from the patient group and healthy controls. Because of the multiple comparisons only p values M-bM-^IM-$ 0.01 were considered significant.

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The dynamics of cellular response to therapeutic perturbation using multiplexed quantification of the proteome and transcriptome at single-cell resolution

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