Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Next Generation Sequencing Facilitates Quantitative Analysis of PIGS-KO, PIGS-HRD1-DKO, PIGS-HRD1-CD55-TKO, and PIGS-HRD1-CD55-TKO+HA-CD55 Transcriptomes

ABSTRACT: Next Generation Sequencing Facilitates Quantitative Analysis of PIGS-KO, PIGS-HRD1-DKO, PIGS-HRD1-CD55-TKO, and PIGS-HRD1-CD55-TKO+HA-CD55 Transcriptomes

PROVIDER: PRJNA766608 | ENA |

REPOSITORIES: ENA

ACCESS DATA

Json Xml

Similar Datasets

Next Generation Sequencing Facilitates Quantitative Analysis of PIGS-KO, PIGS-HRD1-DKO, PIGS-HRD1-CD55-TKO, and PIGS-HRD1-CD55-TKO+HA-CD55 Transcriptomes

Project description:Purpose: Next-generation sequencing (NGS) has revolutionized systems-based analysis of cellular pathways. The goals of this study are to compare the genes expression difference at transcriptome level; Methods: Total RNA was extracted from whole cells with the mirVana miRNA Isolation Kit according to the manufacturer’s protocol. RNA quality and integrity were evaluated with an Agilent 2100 Bioanalyzer. Samples with an RNA integrity number (RIN) ≥ 7 were considered to be of high quality and were processed further and subjected to subsequent analysis. Total RNA-seq libraries were generated using 4 μg of total RNA, which was analyzed using the TruSeq Stranded mRNA LTSample Prep Kit. These libraries were then sequenced using the Illumina sequencing platform (HiSeqTM 2500 or Illumina HiSeq X Ten), and 125-bp/150-bp paired-end reads were generated. Results: The raw reads containing adaptors and the low-quality reads from the raw data were removed using Trimmomatic to obtain clean reads. Transcriptome sequencing was conducted by OE Biotech Co., Ltd. (Shanghai, China), and clean reads were provided. The clean reads were mapped to the hg38 reference genome using hisat2 (version 2.1.0). The output BAM files were converted to SAM files using SAMtools 1.9. The final TPM values were obtained using Stringtie 1.3.5. Conclusions: To understand the mechanistic basis of GPI biosynthesis upregulation by the CD55 precursor, we performed RNA- sequencing (RNA-seq) of samples of parental PIGS-HRD1-DKO, PIGS-HRD1-CD55-TKO, and PIGS-HRD1-CD55-TKO stably overexpressed HA-CD55 stably overexpressing cells. Total RNA was extracted and analyzed. The expression profile of GPI biosynthesis -related genes was not significantly affected by CD55.

2021-09-29 | GSE184822 | GEO

RNA-Seq of Ctrl, Myocd KO, Mrtfa/b DKO and TKO cardiomyocytes

Project description:To characterize transcriptome changes uopn Myocd KO, Mrtfa/b DKO and Mrtfa/b/Myocd TKO in maturing cardiomyocytes

2022-08-01 | GSE210085 | GEO

Determination of proteins labeling by Turbo-ID in PIGS-HRD1-CD55-TKO cells

Project description:To identify proteins that might physically interact with CD55

2023-02-19 | PXD028707 | Pride

Light-dependent expression profiles in WT, DKO, and TKO zebrafish

Project description:To identify the underlying mechanism causing the defects in light-dependent behavioral rhythm formation and the reduced locomotor activity in DKO and TKO zebrafish, a microarray analysis was conducted.

2019-02-27 | GSE111521 | GEO

Microarray of HEK293-PIGS-KO and HEK293-PIGS-UBE2J1-DKO cells.

Project description:Transcriptome analysis of total RNA samples from HEK293-PIGS-KO and HEK293-PIGS-UBE2J1-DKO cells. To check whether KO of UBE2J1 upregulates genes of GPI biosthesis pathway, we used microarrays to analyze gene expression change by KO of UBE2J1 and comfirmed that known GPI pathway genes are not changed by ERAD-deficiency.

2020-01-08 | GSE140855 | GEO

Next Generation Sequencing Facilitates Quantitative Analysis of Wild Type, Mst1/2 dKO and Mst1/2; Yap tKO Initial segments of Epididymis Transcriptomes

Project description:mRNA profiles of 4 week-old contol and Mst1/2 dKO and Mst1/2; Yap tKO Initial segments of Epididymis were generated by deep sequencing, in triplicate, using Illumina HiSeq platform.

2020-04-29 | GSE138519 | GEO

Light-dependent expression profiles in WT, DKO, and TKO zebrafish

Project description:Light-dependent expression profiles in WT, DKO, and TKO zebrafish

| PRJNA437293 | ENA

Microarray of HEK293-PIGS-KO and HEK293-PIGS-UBE2J1-DKO cells.

Project description:Microarray of HEK293-PIGS-KO and HEK293-PIGS-UBE2J1-DKO cells.

| PRJNA591166 | ENA

Genome-wide RNA-seq transcriptional analysis of splenocyte responses to Dengue virus infection in WT, Irf3(-/-)×Irf7(-/-) (DKO), Irf3-/-xIrf5-/-xIrf7-/- (TKO), and Ifnar1-/- (AB6) mice.

Project description:Interferon-regulatory factors (IRFs) are a family of transcription factors (TFs) that play critical roles in translating viral recognition into antiviral responses, including type I IFN production. Dengue virus (DENV) and other clinically important flaviviruses are controlled by functional type I interferon (IFN) responses. Using an experimental model of DENV infection that recapitulates key aspects of the human disease in mice, we demonstrate that while mice lacking the type I IFN receptor (Ifnar1-/-) succumb to DENV infection, mice that are deficient in IRF-3, IRF-5, and IRF-7 – the three transcription factors thought to regulate type I IFN production – survive DENV challenge. Genome-wide RNA-seq analysis of WT, Irf3(-/-)×Irf7(-/-) (DKO), Irf3-/-xIrf5-/-xIrf7-/- (TKO), and Ifnar1-/- (AB6) splenocytes identified minimal type I IFN production but a robust type II IFN (IFN-γ) response in DKO and TKO mice later shown to be dependent on IRF-1. These results reveal a key role for IRF-1 in antiviral defense by activating both type I and II IFN responses during DENV infection.

2017-11-07 | GSE104189 | GEO

Reduced representative bisulfite sequencing (RRBS) analysis for a genome-wide comparison of DNA methylation in wild-type, USP7-KO-1, DNMT3A/3B-DKO and DNMT3A/DNMT3B/USP7-TKO HeLa cell lines.

Project description:To better characterize the effects of USP7 on DNA methylation, we performed reduced representative bisulfite sequencing (RRBS) analysis for a genome-wide comparison of DNA methylation in wild-type, USP7-KO-1, DNMT3A/3B-DKO and DNMT3A/DNMT3B/USP7-TKO HeLa cell lines. RRBS analysis showed increased DNA methylation in USK7-KO cells and loss of USP7 elevates DNA methylation on pre-existing sites and de novo methylation.

2020-09-07 | GSE136159 | GEO

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

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