Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Preclinical efficacy and safety study of encapsulated human proliferating hepatocyte organoids in the treatment of liver failure

ABSTRACT: Purpose: The goals of this study are to analyze the NGS-derived transcriptome profiling (RNA-seq) between the normal, control and experimental group after extended hepatectomy. Results: All sequencing reads from RNA-seq were mapped to the mouse reference genome (GRCm38.84) using hisat2-2.10 (Kim et al., 2015). FPKM (fragments per kilobase of exon per million fragments mapped) values were calculated by Cufflinks v.2.2.1 (Trapnell et al., 2012) using default parameters for gene expression levels. We used htseq-count (Anders et al., 2015) to count reads on genes. Differential expression analysis was performed using DESeq2 (R package, (Love et al., 2014)). Genes were considered differentially expressed if FPKM >=1 in at least one sample and |fold change| >= 2, adjusted p-value < 0.05. The gene ontology analyses was performed using Metascape v3.5 (http://metascape.org/gp/index.html, (Zhou et al., 2019)). Principal component analysis was performed with whole genes using the R package (function: prcomp()). Conclusions: Our study represents the first detailed analysis of liver transcriptomes after extended hepatectomy, with biologic replicates, generated by RNA-seq technology. The optimized data analysis workflows reported here should provide a framework for comparative investigations of expression profiles. Our results show that NGS offers a comprehensive and more accurate quantitative and qualitative evaluation of mRNA content within a cell or tissue. We conclude that RNA-seq based transcriptome characterization would expedite genetic network analyses and permit the dissection of complex biologic functions.

ORGANISM(S): Mus musculus

PROVIDER: GSE197897 | GEO | 2022/03/07

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Similar Datasets

Strand-oriented RNAseq of LNCaP prostate cancer cells in culture for 24h in the presence of androgen

Project description:The aim of this study was to use NGS RNAseq deep-sequencing in order to characterize the polyadenylated mRNAs and lncRNAs expressed in LNCaP cells treated with androgen hormone compared with untreated LNCaP cells (GSE79301). Trimmed reads were mapped using the hg19 genome with TopHat v.2.0.12 and Bowtie v.2.2.3. The assembly was guided by a custom GTF file created with transcripts fromhuman lncRNA annotations from GENCODE v19 (Harrow, Frankish et al.2012) and those already annotated as lincRNAs in (Cabili, Trapnell et al. 2011; Prensner, Iyer et al. 2011; Hangauer, Vaughn et al. 2013). The diferencial expression was calculated by the sum of exon read count per gene with HTSeq (Anders, Pyl et al. 2015), followed by a DESeq2 analysis (Love, Huber et al. 2014).

2017-12-31 | GSE102305 | GEO

CARD9-associated Dectin-1 and Dectin-2 are Required for Protective Immunity of a Multivalent Vaccine Against Coccidioides posadasii Infection

Project description:Preparation of sequencing libraries and sequencing analysis using Illumina HiSeq 3000 platform (50 bp single-read module) were conducted at the Genomics Core of UT Health San Antonio. Sequencing reads were preprocessed by Trim Sequences tools in CLC Genomics workbench. Remaining reads were then aligned to mouse GRCm38(mm10) reference genome using RNA-Seq Analysis module in CLC Genomics workbench. To determine differentially expressed genes, exact test were performed after filtering lowly expressed gene (counts per million < 1 in more than three samples across the dataset) using edgeR package (Robinson, McCarthy et al. 2010). Gene Ontology (GO) analysis were performed using DAVID (Dennis, Sherman et al. 2003) and then visualized by GOplot (Walter, Sanchez-Cabo et al. 2015).

2020-04-16 | GSE133140 | GEO

Gasterosteus aculeatus

Project description:Ellis et al 2015 Development sequencing data

| PRJNA285709 | ENA

H3K23me2 is a new heterochromatic mark in Caenorhabditis elegans

Project description:The lysine 23 of histone H3 (H3K23me2) positively correlates with H3K9me3 and H3K27me3, marks enriched in heterochromatic regions (Ho, J.W. et al., 2014; Garrigues, J.M. et al., 2015; Liu, T. et al., 2015), and negatively correlates with H3K36me2/3 and H3K23/27ac, modifications enriched in actively transcribed regions. Similarly to the reported distribution of H3K9me3 (Ho, J.W. et al., 2014; Garrigues, J.M. et al., 2015), H3K23me2 is enriched on autosomal arms and is depleted from the central regions of the autosomes and from most of the lenght of the X chromosome.

2016-10-17 | GSE88834 | GEO

RNAseq to determine whether bidirectional transcription occurs over transposable elements following depletion of SETDB1 in THP-1 AML Cells

Project description:SETDB1 disruption leads to an increase in the expression of transposable elements as determined by our standard RNAseq, where bidirectional transcription has been reported. We repeated RNA seq on our samples with a stranded prep to determine whether bidirectional transcription occurs of transposable elements following depletion of SETDB1 in THP-1 AML Cells Methods: THP-1 cells were treated with two different SETDB1 sgRNAs (6, and 9) or Non-targeting control sgRNA (NTC) for 4 and 7 days. RNA was isolated and prepared for RNAseq with Qiagen RNeasy kits. Results: Consensus sequences for elements for upregulated TEs were downloaded from the Dfam database (Hubley et al., 2016). Stranded RNA-seq data was then aligned to consensus sequences using BWA-MEM and quantified using HTseq-count(Anders et al., 2015; Li, 2013). Reads were visualized using the IGV genome browser, using a custom pseudogenome that was generated from the Dfam consensus sequences (Robinson et al., 2011; Thorvaldsdottir et al., 2013). Conclusions: Our data determined that following the disruption of SETDB1, there is increased bidirectional transcription over a subset of transposable elements.

2017-09-06 | GSE103410 | GEO

Lignin production associated genes in Urochloa humidicola

Project description:This study aims to reveal genes related to lignin production in Urochloa humidicola through RNA-Seq. This species is widely used as forrage for cattle, being some species of Urochloa responsible for 85% of pastures in Brazil. Given this importance, lignin is a molecule directly related to low digestibility in cattle. Eight samples were chosen from previous lignin production and forage quality data; four samples had low lignin production, and four had high lignin production. The second extended leaves were collected for RNA extraction using RNeasy® Plant Mini Kit. The cDNA library preparation was generated according to Illumina TruSeq Stranded mRNA Sample Prep kit protocol, and RNA sequencing was performed using HiSeq 2500 sequencer. Quality control was measured by FastQC software v 0.11.8. As Urochloa humidicola does not have a sequenced genome, a transcriptome assembly was built by two approaches: through Trinity v 2.8.4 (Grabherr et al., 2011), and Stringtie v 2.0.4 software (Pertea et al., 2015), using Urochloa ruziziensis as reference genome. Then, the final transcriptome was assembled using those two de novo assembles by PASA v 2.2 (Haas et al., 2003). Salmon v 0.7.2 software (Patro et al., 2017) was used to quantify the sequenced reads. The DEG was identified using DESeq2 package, and genes functions were annotated through Trinotate software (Bryant et al., 2017). In total, approximately 123 million reads were sequenced. The final assembled transcriptome was formed by 48,695 transcripts. The differential expressed genes analysis revealed 258 significatively genes. Here, we highlighted genes related to flavonoid biosynthetic process, regulation of phenylpropanoid metabolic process, and Myb-like DNA-binding domain.

2021-09-30 | GSE175577 | GEO

RNA-Seq analysis of the pancreatic islets from 6-week-old Paupar WT and KO mice

Project description:Transcriptional analysis of the pancreatic islets of adult Paupar KO mice versus Paupar WT mice. Total RNA from Paupar WT and Paupar KO mice was converted into cDNA libraries (TruSeq RNA sample preparation kit, Illumina) according to manufacturer’s instructions. Sequencing was performed to a depth of 30 million, single-end reads in three biological replicates per genotype. Reads were aligned to the mouse genome (mm9) using HISAT2 v2.1.0 (Kim et al., 2013). Aligned reads were assigned to genes using annotations from Ensembl (Mus_musculus.GRCm38.73.gtf) and HTseq-count v0.10.0 (Anders et al., 2015). Differential expression across cohorts was assessed using DESeq2 v1.18 (Love, Huber, and Anders, 2014). Among the downregulated genes with a p-value < 0.05 genes important for alpha cell identity and function.

2019-10-10 | GSE121884 | GEO

RNA-seq analysis of differentially expressed genes as a function of initial cell-population density during lineage-commitment in mouse embryonic stem cells

Project description:We examined all transcriptome-level expressions in three initial cell-population densities (862, 1724 and 5172 cells/cm2) in the first two days of differentiation in N2B27. We collected cells in 10-mL tubes and centrifuged them using a pre-cooled centrifuge. We then extracted RNA from each cell-pellet using the PureLink RNA Mini Kit (Ambion, Life Technologies) according to its protocol. We next prepared the cDNA library with the 3′ mRNASeq library preparation kit (Quant-Seq, Lexogen) according to its protocol. We then loaded the cDNA library onto an Illumina MiSeq system using the MiSeq Reagent Kit v3 (Illumina) according to its protocol. We analyzed the resulting RNA-seq data as previously described (Trapnell et al., Nat Protoc 2012). We performed the read alignment using TopHat, read assembly using Cufflinks and analyses of differential gene expression data using Cuffdiff. We used the reference genome for Mus musculus from UCSC (mm10). We performed enrichment analysis of genes based on their FPKM values (e.g., more than 2-fold expressed when two initial population densities are compared) by using GO-terms from PANTHER (Mi et al., Nucl Acids Res 2019) and custom MATLAB script (MathWorks). We visualized results of pre-sorted, Yap1-related genes (LeBlanc et al., Elife 2018; Mugahid et al., Elife 2020; Yu et al., Oncogene 2018; Huh et al., Cells 2019; Zhu et al., Nature Sci Rep 2018; Zhou et al., Int J Mol Sci 2016; Vigneron & Vousden, EMBO J 2012; Kim et al., Cell 2015) into heat maps that displays the normalized expression value (row Z-score) for each gene and each condition.

2020-09-09 | GSE157642 | GEO

Next Generation Sequencing Facilitates Quantitative Analysis of Transcriptomes of Melanoma Cell MUM2B overexpressing Empty Vector Or LACTB

Project description:Methods: mRNA profiles of MUM2B cells stably overexpressing empty vector or LACTB were generated by deep sequencing, in triplicate, using Illumina. featureCounts v1.5.0-p3 was used to count the reads numbers mapped to each gene. And then FPKM of each gene was calculated based on the length of the gene and reads count mapped to this gene. Differential expression analysis of two groups was performed using the DESeq2 R package(1.16.1). qRT–PCR validation was performed using TaqMan and SYBR Green assays

2021-07-01 | GSE162734 | GEO

Lignin production associated genes in Cenchrus purpueus

Project description:This study aims to reveal genes related to lignin production in Cenchrus purpureus through RNA-Seq. This species is widely used as forrage for cattle, and for the last years, due to its high biomass yield, has been considered as source to lignocellulosic ethanol. Given those two importances, lignin is a molecule related to low digestibility in cattle and recalcitrance in biofuel production. Eight samples were chosen from previous lignin production and forage quality data; four samples had low lignin production, and four had high lignin production. The highest nodes were collected for RNA extraction using TRIzol reagent, following Jordon-Thaden et a;. (2015) protocol. The cDNA library preparation was generated according to Illumina TruSeq Stranded mRNA Sample Prep kit protocol, and RNA sequencing was performed using HiSeq 2500 sequencer. Quality control was measured by FastQC software v 0.11.8. The sequenced reads were aligned to Cenchrus purpureus genome through STAR software v. 2.5.2b (Dobin et al., 2012). After that, the transcriptome was assembled using Stringtie v 2.0.4 software (Pertea et al., 2015). Salmon v 0.7.2 software (Patro et al., 2017) was used to quantify the sequenced reads. The DEG was identified using DESeq2 package, and genes functions were annotated through Trinotate software (Bryant et al., 2017). In total, approximately 130 million reads were sequenced. The final assembled transcriptome was formed by 101,169 transcripts. The differential expressed genes analysis revealed 52 significatively genes. Here, we highlighted genes related to sterol, L-serine and terpene biosynthetic process.

2021-10-01 | GSE174718 | 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