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SRP159013
Homo sapiens
3 Downloadable Samples
Illumina HiSeq 4000
Description
Purpose: To compare diversity of primary human CD8+ T cells that have divided 0, 1, or 2 times on day 3 of ex vivo expansion from naïve resting state. Methods: Naïve T cells were enriched from human peripheral blood monoluclear cells (PBMCs), labeled with CFSE dye, and expanded for 3 days using rapid expansion protocol (Li, Y. & Kurlander, R.J. Journal of Translational Medicine, 2010). On day 3, 10,000 single live CFSE+ CD8+ T cells from each of divisions 0, 1, and 2 were sorted and immediately processed using 10X Genomics single-cell RNA-sequencing platform. Results: We found that undivided cells display the highest gene expression diversity. Using 1,000 most variably expressed genes, we created a force-directed layout, representing a phenotypic map of cellular differentiation across division states. To understand the basis of T-cell diversity, we defined and quantified regions of interest on this map based on diffusion pseudo-time (DPT), a metric of cell differentiation state. Finally, we examined gene expression in cells from each region and found that undivided cells acquire gene expression associated with effector cell function, while remaining cells go on to grow and differentiate. Conclusions: Our study provides insights into T-cell differentiation within an ex vivo expansion system for cancer immunotherapy applications. Overall design: A total of 4,060 cells (division 0: n = 552 cells, division 1: n = 1,777 cells, division23: n = 1,731 cells) were sequenced to an average of 52,040 post-normalization reads per cell capturing a median of 18,770 unique molecular identifier (UMI) counts per cell mapping to 3,544 unique genes per cell.
Publication Title
Proliferation tracing with single-cell mass cytometry optimizes generation of stem cell memory-like T cells.
Sample Metadata Fields
Subject
View Samples- Homo sapiens
- 27 Downloadable Samples
Affymetrix Human Gene 2.0 ST Array (hugene20st)
Description
This is a transcriptomics analysis contributing to a bigger project that tries to shed light on the role of type 2 diabetes mellitus (T2DM) as a risk factor for colon cancer (CC). Here we present a gene expression screening of paired tumor and normal colon mucosa samples in a cohort of 42 CC patients, 23 of them with T2DM. Using gene set enrichment, we identified an unexpected overlap of pathways over-represented in diabetics compared to non-diabetics, both in tumor and normal mucosa, including diabetes-related metabolic and signaling processes. An integration with other -omic studies suggests that in diabetics, the local micro-environment in normal colon mucosa may be a factor driving field cancerization which may promote carcinogenesis. Several of these pathways converged on the tumor initiation axis TEAD/YAP-TAZ. Cell culture studies confirmed that high glucose concentrations upregulate this pathway in non-tumor colon cells. In conclusion, diabetes is associated to deregulation of cancer-related processes in normal colon mucosa adjacent to tissue which has undergone a malignant transformation. These data support the existence of the field of cancerization paradigm in diabetes and set a new framework to study link between diabetes and cancer.
Publication Title
Molecular evidence of field cancerization initiated by diabetes in colon cancer patients.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 1 Downloadable Sample
- Affymetrix Human Gene 2.0 ST Array (hugene20st)
Description
This is a transcriptomics analysis contributing to a bigger project that tries to shed light on the role of type 2 diabetes mellitus (T2DM) as a risk factor for colon cancer (CC). Here we present a gene expression screening of 7 colon tumor xenograft samples, 2 with diabetic mice and 5 with normal blood glucose levels. For xenograft model details see: Prieto I, et al. (2017) Colon cancer modulation by a diabetic environment: A single institutional experience. PLoS One 12(3):e0172300
Publication Title
Molecular evidence of field cancerization initiated by diabetes in colon cancer patients.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 6 Downloadable Samples
- IlluminaGenomeAnalyzer
Description
Epidermal growth factor (EGF) is a key regulatory growth factor activating a myriad of processes affecting cell proliferation and survival that are relevant to normal development and disease. Here we have used a combined approach to study the EGF dependent transcriptome of HeLa cells. We obtained mRNA expression profiles using multiple long oligonucleotide based microarray platforms (from Agilent, Operon, Febit, and Illumina) in combination with digital gene expression profiling (DGE) with the Illumina Genome Analyzer I (GA-I). By applying a procedure for cross-platform data meta-analysis based on rank product and global ancova tests, we establish a well validated gene set with transcript levels altered after EGF treatment. We used this robust gene list to build higher order networks of gene interaction by interconnecting associated networks, supporting and extending the important role of the EGF signaling pathway in cancer. In addition, we found a whole new set of genes previously unrelated to the currently accepted EGF associated cellular functions, among which are metallothionein genes. We propose the use of global genomic cross-validation to generate more reliable datasets derived from high content technologies (microarrays or deep sequencing). This approach should help to improve the confidence of downstream in silico functional inference analyses based on high content data. Keywords: treated vs. untreated comparison, time course Overall design: Time course experiment comparing HeLa gene expression in response to EGF analyzed on different microarray platforms (Agilent, IMPPC, Illumina, and Operon) and by digital gene expression using short read high throughput tag sequencing. Three independent experiments were performed where HeLa cells were serum deprived for 24 hours and were either left untreated or treated with EGF for 6, and 24 h and harvested for RNA extraction. Technical dye swap duplicates were performed for each of the three biological replicates in both time points. Comparative genomic hybridization of HeLa cell genomic DNA versus poooled genomic DNA from blood obtained from human females conducted on commercial oligonucleotide microarrays (Human Genome CGH Microarray Kit 244A, Agilent Technologies) in order to assess DNA dosage dependence of gene expression levels and response to EGF. Digital gene expression using short read high throughput tag sequencing data submitted to NCBI''s SRA
Publication Title
Multiple platform assessment of the EGF dependent transcriptome by microarray and deep tag sequencing analysis.
Sample Metadata Fields
No sample metadata fields
View Samples- Homo sapiens
- 9 Downloadable Samples
- Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
To uncover the chromosome 16 associated proteome and to take advantage of the generated knowledge to make progress in human biology in health and disease, a consortium of 15 groups was organized in four working groups: SRM and protein sequencing, antibody and peptide standard, clinical healthcare and biobanking and bioinformatics. According to a preliminary in silico study integrating knowledge from Ensembl, UniProt and GPM, Ramos B lymphocyte cells, MCF-7 epitelial cells and CCD18 fibroblast were selected as it is theoretically expected that any chromosome 16 protein coding gene is expressed in at least one of them. To define in detail the transcriptome of the above mentioned cell lines Affymetrix microarray based analyses were performed. Upon hybridization in Human ST 1.0 arrays, raw data were processed with RMA algorithm for background correction and normalization. Chromosome 16 gene expression pattern was then defined in each cell line and comparative analysis was done with R package statistics. Biological functions involving chromosome 16 genes were analysed with GO and functional networks were studied with Ingenuity Pathway Analysis. Expressed genes were compared with data from shotgun proteomic experiments to find the degree of correlation mRNA-protein. Expression of genes coding for proteins with weak or none MS evidence is shown. The integration of this information in decision-making process of the mass spectrometry group is discussed.
Publication Title
Spanish human proteome project: dissection of chromosome 16.
Sample Metadata Fields
Cell line
View Samples- Homo sapiens
- 7 Downloadable Samples
- Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
Gene expression data obtained from induced pluripotent stem cells derived from wild type fibroblasts (iPSc WT) and from Gaucher Disease type 2 fibroblasts (GD iPSc). Also, gene expression analysis from the initial fibroblasts was made (WT fibroblasts and GD- fibroblasts), as well as gene expression analysis from a human embryonic stem cell line (hES4).
Publication Title
Neuronopathic Gaucher's disease: induced pluripotent stem cells for disease modelling and testing chaperone activity of small compounds.
Sample Metadata Fields
Specimen part, Cell line
View Samples- Mus musculus
- 23 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
We performed mRNA expression profiling of lung tumors from C/L858R, C/T790M, and C/L+T mice and from corresponding normal lung tissue.
Publication Title
Dual targeting of EGFR can overcome a major drug resistance mutation in mouse models of EGFR mutant lung cancer.
Sample Metadata Fields
No sample metadata fields
View Samples- Arabidopsis thaliana
- 18 Downloadable Samples
- Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)
Description
The essential thiol antioxidant, glutathione (GSH) is recruited into the nucleus of mammalian cells early in cell proliferation, suggesting a key role of the nuclear thiol pool in cell cycle regulation. However, the functions of nuclear GSH (GSHn) and its integration with the cytoplasmic GSH (GSHc) pools in whole cell redox homeostasis and signaling are unknown. Here we show that GSH is recruited into the nucleus early in cell proliferation in Arabidopsis thaliana, confirming the requirement for localization of GSH in the nucleus as a universal feature of cell cycle regulation.
Publication Title
Recruitment of glutathione into the nucleus during cell proliferation adjusts whole-cell redox homeostasis in Arabidopsis thaliana and lowers the oxidative defence shield.
Sample Metadata Fields
Treatment
View Samples- Arabidopsis thaliana
- 27 Downloadable Samples
- Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
The transcription factor ABI4 Is required for the ascorbic acid-dependent regulation of growth and regulation of jasmonate-dependent defense signaling pathways in Arabidopsis.
Sample Metadata Fields
Age, Specimen part
View Samples- Arabidopsis thaliana
- 17 Downloadable Samples
- Affymetrix Arabidopsis ATH1 Genome Array (ath1121501)
Description
The role of abscisic acid (ABA) signalling in the ascorbic acid (AA)-dependent control of plant growth and defence was determined using the vtc1 and vtc2 mutants, which have impaired ascorbic acid synthesis, and in the abi4 mutant that is impaired in ABA-signalling. ABA levels were increase in the mutants relative to the wild type (Col0). Like vtc1 the vtc2 mutants have a slow growth relative to Col0. However, the wild type phenotype is restored in the abi4vtc2 double mutant. Similarly, the sugar sensing phenotype of in the abi4 is reversed in the abi4vtc2 double mutant. The vtc1 and vtc2 leaf transcriptomes show up to 70 % homology with abi4. Of the transcripts that are altered in the mutants a relative to Col0, only a small number are reversed in the abi4vtc2 double mutants relative to either abi4 or vtc2. We conclude that AA controls growth via an ABA and abi4-dependent signalling pathway. The vtc and abi4 mutants have enhanced glutathione levels and common redox signalling pathways leading to similar gene expression patterns.
Publication Title
The transcription factor ABI4 Is required for the ascorbic acid-dependent regulation of growth and regulation of jasmonate-dependent defense signaling pathways in Arabidopsis.
Sample Metadata Fields
Age, Specimen part
View Samples