Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Fluidigm Biomark 96.96 nanofluidic arrays for qRT-PCR of 93 miRNAs: salivary extracellular vesicles

ABSTRACT: Crude extracellular vesicles (EVs) from eight healthy volunteers were separated into 6 fractions based on their densities by using the iodixanol-based density gradient centrifugation method. To determine the distribution of miRNAs among these fractions, quantities of 93 miRNAs were quantified by the TaqMan real time PCR method using the BioMark HD system (Fluidigm) equipped with 96.96 dynamic array (Fluidigm). Six samples were fractionated from a crude EVs by density gradient centrifugation. Total of 48 samples were prepared from 8 healthy volunteers. Technical replicate of 4 gave 8 x 6 x 4 x 93 = 17,856 data. As control Tris-HCl EDTA buffer (TE) was used.

ORGANISM(S): Homo sapiens

SUBMITTER: Kiyotaka Shiba

PROVIDER: E-GEOD-78763 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Isolation of human salivary extracellular vesicles by iodixanol density gradient ultracentrifugation and their characterizations.

Iwai Kazuya K Minamisawa Tamiko T Suga Kanako K Yajima Yasutomo Y Shiba Kiyotaka K

Journal of extracellular vesicles 20160517

Diagnostic methods that focus on the extracellular vesicles (EVs) present in saliva have been attracting great attention because of their non-invasiveness. EVs contain biomolecules such as proteins, messenger RNA (mRNA) and microRNA (miRNA), which originate from cells that release EVs, making them an ideal source for liquid biopsy. Although there have been many reports on density-based fractionation of EVs from blood and urine, the number of reports on EVs from saliva has been limited, most prob ...[more]

PMID: 27193612

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Project description:T lymphocytes responding to microbial infection give rise to effector cells that mediate acute host defense and memory cells that provide long-lived immunity, but the fundamental question of when and how these cells arise remains unresolved. Here we combine single-cell gene expression analyses with machine-learning approaches to trace the transcriptional roadmap of individual CD8+ T lymphocytes throughout the course of an immune response in vivo. Gene expression signatures predictive of eventual fates could be discerned as early as the first T lymphocyte division and may be influenced by asymmetric partitioning of the interleukin-2 receptor during mitosis. These findings underscore the importance of single-cell analyses in understanding fate determination and provide new insights into the specification of divergent lymphocyte fates early during an immune response to microbial infection. The goal of the study was to profile the gene expression in single CD8+ T cells responding in vivo to a microbial infection over multiple timepoints. 5 x 103 CD8+ CD45.1+ T cells transgenic for the OT-1 T cell receptor (which recognizes Listeria monocytogenes expressing ovalbumin (Lm-ova)) were adoptively transferred into congenic wild-type CD45.2 C57/B6J recipients, followed by infection intravenously one day later with 5 x 103 colony-forming units (CFU) of Lm-OVA. Splenocytes were isolated from recipient mice at 5, 7, or 45 days post-infection. To isolate cells at 3 days post-infection, 2 x 104 OT-1 CD8+ T cells were adoptively transferred. To isolate cells that had undergone their first division, 2 x 106 OT-1 CD8+ T cells were first labeled with carboxyfluorescein diacetate succinimidyl ester (CFSE) prior to adoptive transfer and recipient mice were sacrificed at 48 hours post-infection. Unactivated naM-CM-/ve OT-1 CD45.1+ CD8+ T cells were also included. Cells were stained with fluorochrome-labeled antibodies against CD8, CD44, CD4, CD11b, CD11c, and F4/80, and sorted on a MoFlo (Beckman Coulter) or FACS Aria II (BD Biosciences) flow cytometer. The Ct value for each gene analyzed in each individual cell at each time point is reported in the Matrix non-normalized. The 94 ABI TaqMan Assay IDs are listed on the left (A2-A96), along with the accession number (B2-B96) and corresponding gene name (C2-C96) of each gene studied. The Il2 gene expression assay was duplicated. Each heading (D1-BCV)) represents a single cell from each of 13 timepoints or T cell subset that were profiled. The timepoints/T cell subsets and number of each cells profiled from each timepoint/T cell subset were: unactivated naM-CM-/ve (149 cells), distal daughter (48), proximal daughter (83), division 1 (144), day 3 post-infection (143), day 5 post-infection memory precursor (Tmp) (90), day 5 post-infection short-lived effector (Tsle) (79), day 5 post-infection (154), day 7 post-infection memory precursor Tmp (62), day 7 post-infection short-lived effector Tsle (89), day 7 post-infection (134), central memory Tcm (138), and effector memory Tem (136).

Project description:Background: Recent advances in single-cell techniques have provided the opportunity to finely dissect cellular heterogeneity within populations previously defined by âbulkâ assays and to uncover rare cell types. In human hematopoiesis, megakaryocytes and erythroid cells differentiate from a shared precursor, the megakaryocyte-erythroid progenitor (MEP), which remains poorly defined.Results: To clarify the cellular pathway in erythro-megakaryocyte differentiation, we correlated the surface immunophenotype, transcriptional profile and differentiation potential of individual MEP cells. Highly purified, single MEP cells (n=681) were analyzed using index fluorescence-activated cell sorting with parallel targeted transcriptional profiling of the same cells performed using a specifically designed panel of 87 genes. Differentiation potential was tested in novel, single-cell differentiation assays. Our results demonstrated that immunophenotypic MEP in fact comprise three distinct subpopulations: (1) âPre-MEPâ, enriched for erythroid/megakaryocyte progenitors but with residual myeloid differentiation capacity (2) âE-MEPâ, strongly biased towards erythroid differentiation, and (3) âMK-MEPâ, a previously undescribed, rare population of cells that are bipotent but primarily generate megakaryocytic progeny. Therefore, conventionally-defined MEP are in fact a mixed population: a minority give rise to mixed-lineage colonies while the majority of cells are transcriptionally-primed to generate exclusively single-lineage output. Conclusions: Our study clarifies the cellular hierarchy in human megakaryocyte/erythroid lineage commitment and highlights the importance of using a combination of single-cell approaches to dissect cellular heterogeneity and identify rare cell types within a population. We present a novel immunophenotyping strategy that enables the prospective identification of specific intermediate progenitor populations in erythro-megakaryopoiesis, allowing for in-depth study of disorders including inherited cytopenias, myeloproliferative disorders and erythromegakaryocytic leukemias. Multiplex RT-PCR gene expression profiling of 807 human megakaryocyte-erythroid progenitor cells (MEP) isolated from three healthy donors by apheresis following G-CSF treatment. Cells were excluded if more than 70 assays did not result in amplification or displayed Ct higer than 13 for B2M or higher than 15 for GAPDH. Furthermore cells with a mean non-dropout Ct value greater than 20 were removed. This resulted in a dataset of 681 cells, which were subsequently normalised to the mean of B2M and GAPDH expression.

Dataset Information

Fluidigm Biomark 96.96 nanofluidic arrays for qRT-PCR of 93 miRNAs: salivary extracellular vesicles

Publications

Isolation of human salivary extracellular vesicles by iodixanol density gradient ultracentrifugation and their characterizations.

Similar Datasets

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