Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

RNA-seq of yeast cell cycle grown on ethanol, used for absolute gene expression quantification

ABSTRACT: RNA-seq of yeast cell cycle grown on ethanol, used for absolute gene expression quantification

PROVIDER: PRJEB35903 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
	ERR3772430_1.fastq.gz	Fastqsanger.gz
	ERR3772430_2.fastq.gz	Fastqsanger.gz
	ERR3772440_1.fastq.gz	Fastqsanger.gz
	ERR3772440_2.fastq.gz	Fastqsanger.gz
	ERR3772431_1.fastq.gz	Fastqsanger.gz

Items per page:

1 - 5 of 42

Similar Datasets

RNA-seq of yeast cell cycle grown on ethanol, used for absolute gene expression quantification

Project description:We use Saccharomyces cerevisiae grown on ethanol to perform absolute quantitative multi-omics analysis to map interactions of different cellular processes during the yeast cell cycle.

2021-11-01 | E-MTAB-8621 | biostudies-arrayexpress

RNA-seq of yeast cell cycle, used for absolute gene expression quantification

Project description:RNA-seq of yeast cell cycle, used for absolute gene expression quantification

| PRJEB35742 | ENA

Absolute quantification of miRNAs

Project description:Absolute quantification of miRNAs

| PRJNA116765 | ENA

Absolute quantification of mammalian microRNAs

Project description:Absolute quantification of mammalian microRNAs

| PRJNA1140118 | ENA

Absolute quantification of miRNAs

2009-10-27 | GSE15835 | GEO

RNA-seq of yeast cell cycle, used for absolute gene expression quantification

Project description:We use Saccharomyces cerevisiae to perform absolute quantitative multi-omics analysis to map interactions of different cellular processes during the yeast cell cycle.

2020-03-30 | E-MTAB-8565 | biostudies-arrayexpress

Genome-wide absolute quantification of chromatin looping

Project description:Genome-wide absolute quantification of chromatin looping

| PRJNA1209796 | ENA

Absolute quantification of miRNAs

Project description:MicroRNAs (miRNAs) have been shown to play an important role in many different cellular, developmental, and physiological processes. Accordingly, numerous methods have been established to identify and quantify miRNAs. The shortness of miRNA sequence results in a high dynamic range of melting temperatures and, moreover, impedes a proper selection of detection probes or optimized PCR primers. While miRNA microarrays allow for massive parallel and accurate relative measurement of all known miRNAs, they have so far been less useful as an assay for absolute quantification. Here, we present a microarray based approach for global and absolute quantification of miRNAs. The method relies on an equimolar pool of about 1000 synthetic miRNAs of known concentration which is used as an universal reference and labeled and hybridized in a dual colour approach on the same array as the sample of interest. Each single miRNA is quantified with respect to the universal reference outbalancing bias related to sequence, labeling, hybridization or signal detection method. We demonstrate the accuracy of the method by various spike in experiments. Further, we quantified miRNA copy numbers in liver samples and CD34(+)CD133(-) hematopoietic stem cells. Total liver RNA was mixed with 2.5 fmol of each of 18 RNA oligonucleotides reverse complement to miRControl 3 probes and subsequently fluorescently labelled by 3â ligation. Total RNA mix was hybridized in a dual colour approach to microarrays versus a second labelled synthetic miRNA pool (n = 6). The synthetic miRNA pool consisted of 2.5 fmol of each of 891 non redundant miRNAs sequences and miRControl 3 sequences. The array data was normalized by calculating the median of the miRControl 3 present in the liver and UR sample. The miRNA amount was calculated with respect to the corresponding miRNA in the UR.

2010-06-20 | E-GEOD-15835 | biostudies-arrayexpress

Absolute quantification of CD34(+)/CD133(-) hematopoietic stem cells

Project description:Absolute quantification of CD34(+)/CD133(-) hematopoietic stem cells

| PRJNA116757 | ENA

Absolute quantification of CD34(+)/CD133(-) hematopoietic stem cells

2009-10-27 | GSE15831 | GEO