Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Small RNA sequencing of urine-derived ADO2-iPSCs

ABSTRACT: To identify potential miRNA–mediated targets associated with osteopetrosis at the genome-wide level, two small RNA libraries and a degradome library were constructed from the ADO2-iPSCs and normal control human iPSCs (NC-iPSCs) for deep sequencing.

ORGANISM(S): Homo sapiens

PROVIDER: GSE133937 | GEO | 2021/11/03

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Degradome sequencing of urine-derived ADO2-iPSCs

Project description:To identify potential miRNA–mediated targets associated with osteopetrosis at the genome-wide level, two small RNA libraries and a degradome library were constructed from the ADO2-iPSCs and normal control human iPSCs (NC-iPSCs) for deep sequencing.

2022-07-08 | GSE133938 | GEO

Small RNA sequencing of urine-derived PS.

Project description:To identify potential miRNA–mediated targets associated with osteopetrosis at the genome-wide level, two small RNA libraries and a degradome library were constructed from the PS and normal control human iPSCs (NC-iPSCs) for deep sequencing.

2023-05-28 | GSE153885 | GEO

Depleting ribosomal RNA sequencing of urine-derived ADO2-iPSCs.

Project description:To construct comprehensive competing endogenous RNA (ceRNA) networks , depleting ribosomal RNA strand-specific libraries were constructed from the ADO2-iPSCs and normal control human iPSCs (NC-iPSCs) for deep RNA sequencing.

2021-11-03 | GSE140132 | GEO

Degradome sequencing of urine-derived ADO2-iPSCs

Project description:Degradome sequencing of urine-derived ADO2-iPSCs

| PRJNA553162 | ENA

Genome-Wide Identification of microRNAs and Their Targets in Cold-Stored Potato Tubers by Deep Sequencing and Degradome Analysis

Project description:Two small RNA libraries and 2 degradome libraries were constructed from potato tubers stored at room temperature or exposed to cold stress for deep sequencing. Through small RNA sequencing, 53 known miRNAs and 59 novel miRNAs were identified. Seventy genes were identified as miRNA targets by degradome sequencing.

2015-12-24 | GSE43237 | GEO

Genome-Wide Identification of microRNAs and Their Targets in Cold-Stored Potato Tubers by Deep Sequencing and Degradome Analysis

2015-12-24 | E-GEOD-43237 | biostudies-arrayexpress

Identification of miRNAs and Their Target Genes in Peach (Prunus persica L.) Using High-Throughput Sequencing and Degradome Analysis

Project description:MicroRNAs play critical roles in various biological and metabolic processes. The function of miRNAs has been widely studied in model plants such as Arabidopsis and rice. However, the number of identified miRNAs and related miRNA targets in peach (Prunus persica) is limited. To understand further the relationship between miRNAs and their target genes during tissue development in peach, a small RNA library and three degradome libraries were constructed from three tissues for deep sequencing. We identified 117 conserved miRNAs and 186 novel miRNA candidates in peach by deep sequencing and 19 conserved miRNAs and 13 novel miRNAs were further evaluated for their expression by RT-qPCR. The number of gene targets that were identified for 26 conserved miRNA families and 38 novel miRNA candidates, were 172 and 87, respectively. Some of the identified miRNA targets were abundantly represented as conserved miRNA targets in plant. However, some of them were first identified and showed important roles in peach development. Our study provides information concerning the regulatory network of miRNAs in peach and advances our understanding of miRNA functions during tissue development. To identify more conserved and peach-speciM-oM-,M-^Ac miRNAs and their target genes and to understand further the mechanism of miRNA-regulated target genes during tissue development in peach, a small RNA library and three degradome libraries were constructed from three different tissues for deep sequencing.

2014-01-01 | E-GEOD-49579 | biostudies-arrayexpress

Deep sequencing of the degradome cDNA library in soybean

Project description:We deep sequenced a degradome library constructed from different soybean tissues. As a result, 19,830,257 represented 5,337,590 distinct signatures were obtained. 70.98% of the signatures were assigned to one soybean cDNA sequence and 24.05% matched with two cDNA sequences. 428 potential targets of small RNAs and 25 novel miRNA families were identified in soybean. A total of 211 potential miRNA targets including 150 conserved miRNA targets and 69 soybean-specific miRNA targets were identified. The signatures distribution on soybean primary miRNAs (pri-miRNAs) showed that most of the pri-miRNAs had the characteristic pattern of Dicer processing. The TAS3 small RNAs (siRNAs) biogenesis was conserved in soybean and nine Auxin Response Factors (ARFs) were identified as the TAS3 siRNA targets. The global identification of miRNAs targets would contribute to the functional research of the miRNA in soybean. one sample, We deep sequenced a degradome library constructed from different soybean tissues.

2011-11-02 | E-GEOD-33379 | biostudies-arrayexpress

Degradome sequencing analysis in developing wheat grains

Project description:We aimed to identify targets of miRNAs during wheat grain development by using degradome sequencing approach. Two degradome libraries were constructed from wheat grains. Verification of miRNA targets from two degradome libraries in developing wheat grains.

2016-07-03 | E-GEOD-65798 | biostudies-arrayexpress

Degradome sequencing analysis in developing wheat grains

Project description:We aimed to identify targets of miRNAs during wheat grain development by using degradome sequencing approach. Two degradome libraries were constructed from wheat grains.

2016-01-01 | GSE65798 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data