Ontology highlight
ABSTRACT:
PROVIDER: PRJNA235342 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR1122357_1.fastq.gz | Fastqsanger.gz | |||
| SRR1122357_2.fastq.gz | Fastqsanger.gz | |||
| SRR1122358_1.fastq.gz | Fastqsanger.gz | |||
| SRR1122358_2.fastq.gz | Fastqsanger.gz |
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Project description:MARIS: Method for Analyzing RNA following Intracellular Sorting [array]
| PRJNA234005 | ENA
Project description:MARIS: Method for Analyzing RNA following Intracellular Sorting [RNA-seq]
| PRJNA235341 | ENA
Project description:We've developed a new Method to Analyze RNA following Intracellular Sorting (MARIS) allowing us to carry out gene expression studies on cells sorted based on intracellular immunoflourescence. The purpose of this study is to determine the degree of bias that MARIS introduces on gene expression. We report RNA-seq gene expression data from human embryonic stem cells differentiated to a stage in which insulin-expressing cells are present. Gene expression data using RNA isolated from live cells is compared to gene expression data using RNA isolated from MARIS processed cells (fixed, permeabilized, antibody stained and mock sorted) to determine the degree of correlation in gene expression between these two biologically identical samples.
2014-01-17 | GSE54178 | GEO
Project description:We've developed a new Method to Analyze RNA following Intracellular Sorting (MARIS) allowing us to carry out gene expression studies on cells sorted based on intracellular immunoflourescence. The purpose of this study is to determine the degree of bias that MARIS introduces on gene expression. We report Illumina microarray gene expression data from human embryonic stem cells differentiated to a stage in which insulin-expressing cells are present. Gene expression data using RNA isolated from live cells is compared to gene expression data using RNA isolated from MARIS processed cells (fixed, permeabilized, antibody stained and mock sorted) to determine the degree of correlation in gene expression between these two biologically identical samples.
2014-01-13 | GSE53941 | GEO
Project description:We've developed a new Method to Analyze RNA following Intracellular Sorting (MARIS) allowing us to carry out gene expression studies on cells sorted based on intracellular immunoflourescence. The purpose of this study is to determine the degree of bias that MARIS introduces on gene expression. We report RNA-seq gene expression data from human embryonic stem cells differentiated to a stage in which insulin-expressing cells are present. Gene expression data using RNA isolated from live cells is compared to gene expression data using RNA isolated from MARIS processed cells (fixed, permeabilized, antibody stained and mock sorted) to determine the degree of correlation in gene expression between these two biologically identical samples. Human embryonic stem cells are differentiated to a stage in which insulin-expressing cells are present and split into two biologically identical samples. RNA is immediately isolated from one sample using the RNeasy protocol (live sample). RNA is isolated from the second sample following MARIS (processed sample) with all cells collected after the sort in order to keep the cell type composition between the live and processed samples the same.
2014-01-17 | E-GEOD-54178 | biostudies-arrayexpress
Project description:We've developed a new Method to Analyze RNA following Intracellular Sorting (MARIS) allowing us to carry out gene expression studies on cells sorted based on intracellular immunoflourescence. The purpose of this study is to determine the degree of bias that MARIS introduces on gene expression. We report Illumina microarray gene expression data from human embryonic stem cells differentiated to a stage in which insulin-expressing cells are present. Gene expression data using RNA isolated from live cells is compared to gene expression data using RNA isolated from MARIS processed cells (fixed, permeabilized, antibody stained and mock sorted) to determine the degree of correlation in gene expression between these two biologically identical samples. Human embryonic stem cells are differentiated to a stage in which insulin-expressing cells are present and split into two biologically identical samples. RNA is immediately isolated from one sample using the RNAeasy protocol (live sample). RNA is isolated from the second sample following MARIS (processed sample) with all cells collected after the sort in order to keep the cell type composition between the live and processed samples the same.
2014-01-13 | E-GEOD-53941 | biostudies-arrayexpress
Project description:The aim of this experiment was to observe the transcriptional profile of mouse islets during development (at timepoints E18.5, P10, Adult). RNA-seq was performed on the same RNA that was used for an earlier microarray. No MARIS sorting.
2015-03-16 | E-MTAB-3417 | biostudies-arrayexpress
Project description:The generation and purification of cardiomyocyte sub-population are critical for precise modelling of cardiac diseases, drug screening, and regenerative medicine due to their distinct phenotypic and functional characteristics. Therefore, identifying surface markers for cardiomyocyte subtypes that facilitate live cell sorting of homogenous population of cardiomyocytes is of utmost importance for successful translation of cardiovascular research and therapeutic applications. Using MARIS method coupled with RNA sequencing analysis on MLC2A- and MLC2V-expressing cardiomyocytes, we identified JAK2 as a potential cell surface marker for purifying ventricular cardiomyocytes. We demonstrated that that SIRPA+/JAK2+ population sorted expressed high levels of ventricular-specific marker and had electrophysiological properties that corresponded to ventricular-like cardiomyocytes. Functionally, SIRPA+/JAK2+ cardiomyocytes do not response to vernakalant, an atrial-selective anti-arrhythmic agent, confirming their identity as ventricular-like cells.
2023-12-01 | GSE231913 | GEO
Project description:Fluorescence-activated cell sorting (FACS) is a sensitive and valuable technique to characterize cellular subpopulations and great advances have been made using this approach. Cells are often fixed with formaldehyde prior to the sorting process to preserve cell morphology and maintain the expression of surface molecules, as well as to ensure safety in the sorting of infected cells. It is widely recognized that formaldehyde fixation alters RNA and DNA structure and integrity, thus analyzing gene expression in these cells has been difficult. We therefore examined the effects of formaldehyde fixation on the stability and quantitation of nucleic acids in cell lines, primary leukocytes and also cells isolated from SIV-infected pigtailed macaques. We developed a method to extract RNA from fixed cells that yielded the same amount of RNA as our common method of RNA isolation from fresh cells. Quantitation of RNA by RT-qPCR in fixed cells was not always comparable with that in unfixed cells. In comparison, when RNA was measured by the probe-based NanoString system, there was no significant difference in RNA quantitation. In addition, we demonstrated that quantitation of proviral DNA in fixed cells by qPCR is comparable to that in unfixed cells when normalized by a single-copy cellular gene. These results provide a systematic procedure to quantitate gene expression in cells that have been fixed with formaldehyde and sorted by FACS.
2013-09-09 | GSE50690 | GEO