Ontology highlight
ABSTRACT:
PROVIDER: PRJNA1106564 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Chinese cordyceps is of particular interest for its confined distribution, mysterious lifecycle, ecological importance and developmental biology. The large scale artificial cultivation of this fungus has been succeeded in China until recently but with low efficiency and high cost being ascribed to too much unsolved biological issues, such as gene expression during development and the sexuality reproduction. The success of artificial cultivation provides the convenient for sampling during the different development stages.
2019-05-14 | GSE123085 | GEO
Project description:A cost-effective RNA sequencing protocol for large-scale gene expression studies
| PRJNA353627 | ENA
Project description:A new high-density oligonucleotide array of the human transcriptome (GG-H array) has been developed for high-throughput and cost-effective analyses in clinical studies. This array allows comprehensive examination of gene expression and genome-wide identification of alternative splicing, as well as detection of coding SNPs and non-coding transcripts. The GG-H array was validated using samples from multiple independent preparations of human liver and muscle, and compared with results obtained from mRNA sequencing analysis. The GG-H array is highly reproducible in estimating gene and exon abundance, and is sensitive in detecting expression changes and alternative splicing. This array has been implemented in a multi-center clinical program and has generated high quality, reproducible data. When current cost, as well as sample and time requirements for sequencing are considered in the context of a required throughput of hundreds of samples per week for a clinical trial, the array provides a high-throughput and cost effective platform for clinical genomic studies. Examination exon/gene expression of liver and muscle in quadraplicates using both the array technology and RNA-Seq
2011-01-27 | E-GEOD-26109 | biostudies-arrayexpress
Project description:A new high-density oligonucleotide array of the human transcriptome (GG-H array) has been developed for high-throughput and cost-effective analyses in clinical studies. This array allows comprehensive examination of gene expression and genome-wide identification of alternative splicing, as well as detection of coding SNPs and non-coding transcripts. The GG-H array was validated using samples from multiple independent preparations of human liver and muscle, and compared with results obtained from mRNA sequencing analysis. The GG-H array is highly reproducible in estimating gene and exon abundance, and is sensitive in detecting expression changes and alternative splicing. This array has been implemented in a multi-center clinical program and has generated high quality, reproducible data. When current cost, as well as sample and time requirements for sequencing are considered in the context of a required throughput of hundreds of samples per week for a clinical trial, the array provides a high-throughput and cost effective platform for clinical genomic studies. Examination exon/gene expression of liver and muscle in quadraplicate using both the array technology and RNA-Seq
2011-01-27 | E-GEOD-26072 | biostudies-arrayexpress
Project description:Massively parallel single cell RNA-seq (scRNA-seq) for diverse applications, from cell atlases to functional screens, is increasingly limited by sequencing costs, and large-scale low-cost sequencing can open many additional applications, including patient diagnostics and drug screens. Here, we adapted and systematically benchmarked a newly developed, mostly-natural sequencing by synthesis method for scRNA-seq. We demonstrate successful application in four scRNA-seq case studies of different technical and biological types, including 5’ and 3’ scRNA-seq, human peripheral blood mononuclear cells from a single individual and in multiplex, as well as Perturb-Seq. Our data show comparable results to existing technology, including compatibility with state of the art scRNA-seq libraries independent of the sequencing technology used – thus providing an enhanced cost-effective path for large scale scRNA-seq.
2022-05-31 | GSE197452 | GEO
Project description:A new high-density oligonucleotide array of the human transcriptome (GG-H array) has been developed for high-throughput and cost-effective analyses in clinical studies. This array allows comprehensive examination of gene expression and genome-wide identification of alternative splicing, as well as detection of coding SNPs and non-coding transcripts. The GG-H array was validated using samples from multiple independent preparations of human liver and muscle, and compared with results obtained from mRNA sequencing analysis. The GG-H array is highly reproducible in estimating gene and exon abundance, and is sensitive in detecting expression changes and alternative splicing. This array has been implemented in a multi-center clinical program and has generated high quality, reproducible data. When current cost, as well as sample and time requirements for sequencing are considered in the context of a required throughput of hundreds of samples per week for a clinical trial, the array provides a high-throughput and cost effective platform for clinical genomic studies.
2011-01-27 | GSE26109 | GEO
Project description:A new high-density oligonucleotide array of the human transcriptome (GG-H array) has been developed for high-throughput and cost-effective analyses in clinical studies. This array allows comprehensive examination of gene expression and genome-wide identification of alternative splicing, as well as detection of coding SNPs and non-coding transcripts. The GG-H array was validated using samples from multiple independent preparations of human liver and muscle, and compared with results obtained from mRNA sequencing analysis. The GG-H array is highly reproducible in estimating gene and exon abundance, and is sensitive in detecting expression changes and alternative splicing. This array has been implemented in a multi-center clinical program and has generated high quality, reproducible data. When current cost, as well as sample and time requirements for sequencing are considered in the context of a required throughput of hundreds of samples per week for a clinical trial, the array provides a high-throughput and cost effective platform for clinical genomic studies.
2011-01-27 | GSE26072 | GEO
Project description:Large scale proteomic profiling of cell lines can yield valuable insights into the molecular signatures attributed to variable genotypes or induced perturbations. Specifically, the ability to perform deep and rapid proteome analysis of pharmacologically modulated cells could generate drug-protein associations for large libraries of compounds that predict mechanism of action and enable rational drug design. Although isobaric labelling has greatly increased the throughput of proteomic analysis at deep coverage, the commonly used sample preparation workflows often require complex time-consuming steps and/or costly consumables, limiting their suitability for large scale studies. Here, we present a simplified and cost effective one-pot reaction sample preparation workflow in a 96-well plate format with manual parallel processing (SimPLIT), that minimizes processing steps and reduces technical variability. The workflow is based on a sodium deoxycholate lysis buffer and a single detergent clean-up step after peptide labeling, followed by quick off-line fractionation and MS2 analysis. The simplified workflow demonstrates high reproducibility and provides improved proteome representation compared to alternative approaches. We showcase the large-scale applicability of the workflow by investigating proteomic heterogeneity in a panel of colorectal cancer cell lines and by performing target discovery for a set of molecular glue degraders in different cell lines, in a 96-sample assay. Using this workflow, we report a subset of frequently dysregulated proteins in colorectal cancer cells and uncover cell-dependent protein degradation profiles of seven cereblon E3 ligase modulators (CRL4CRBN). Overall, SimPLIT is a robust method that can be easily implemented in most proteomics laboratories for medium-to-large scale TMT-based studies involving deep profiling of cell lines.
2022-08-03 | PXD031510 | Pride
Project description:Large scale proteomic profiling of cell lines can yield valuable insights into the molecular signatures attributed to variable genotypes or induced perturbations. Specifically, the ability to perform deep and rapid proteome analysis of pharmacologically modulated cells could generate drug-protein associations for large libraries of compounds that predict mechanism of action and enable rational drug design. Although isobaric labelling has greatly increased the throughput of proteomic analysis at deep coverage, the commonly used sample preparation workflows often require complex time-consuming steps and/or costly consumables, limiting their suitability for large scale studies. Here, we present a simplified and cost effective one-pot reaction sample preparation workflow in a 96-well plate format with manual parallel processing (SimPLIT), that minimizes processing steps and reduces technical variability. The workflow is based on a sodium deoxycholate lysis buffer and a single detergent clean-up step after peptide labeling, followed by quick off-line fractionation and MS2 analysis. The simplified workflow demonstrates high reproducibility and provides improved proteome representation compared to alternative approaches. We showcase the large-scale applicability of the workflow by investigating proteomic heterogeneity in a panel of colorectal cancer cell lines and by performing target discovery for a set of molecular glue degraders in different cell lines, in a 96-sample assay. Using this workflow, we report a subset of frequently dysregulated proteins in colorectal cancer cells and uncover cell-dependent protein degradation profiles of seven cereblon E3 ligase modulators (CRL4CRBN). Overall, SimPLIT is a robust method that can be easily implemented in most proteomics laboratories for medium-to-large scale TMT-based studies involving deep profiling of cell lines.
2022-08-03 | PXD034022 | Pride
Project description:Cardiomyocytes can be differentiated from human pluripotent stem cells (hPSCs) in defined conditions, but efficient and consistent cardiomyocyte differentiation often requires expensive reagents such as B27 supplement or recombinant albumin. Using a chemically defined albumin-free (E8 basal) medium, we identified heparin as a novel factor that significantly promotes cardiomyocyte differentiation efficiency, and developed an efficient method to differentiate hPSCs into cardiomyocytes. The treatment of heparin helped cardiomyocyte differentiation consistently reach at least 80% purity (up to 95%) from more than 10 different hPSC lines in chemically defined DMEM/F-12 based medium on either Matrigel or defined matrices like Vitronectin and Synthemax. One of heparinâs main functions was to act as a WNT modulator that helped promote robust and consistent cardiomyocyte production. Our study provides an efficient, reliable, and cost-effective method for cardiomyocyte derivation from hPSCs that can be used for potential large-scale drug screening, disease modeling, and future cellular therapies. 12 human pluripotent stem cells (hPSCs) at three different cardiac differentiation times (0 Days, 3 Days, 6 Days, 10 Days) under different culture conditions (+/- Heparin, +/- IWP2).
2016-07-28 | E-GEOD-81711 | biostudies-arrayexpress