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GSE83456
Homo sapiens
202 Downloadable Samples
Illumina HumanHT-12 V4.0 expression beadchip
Description
Background: Mycobacterium tuberculosis infection is a leading cause of infectious death worldwide. Gene-expression microarray studies profiling the blood transcriptional response of tuberculosis (TB) patients have been undertaken in order to better understand the host immune response as well as to identify potential biomarkers of disease. To date most of these studies have focused on pulmonary TB patients with gene-expression profiles of extra-pulmonary TB patients yet to be compared to those of patients with pulmonary TB or sarcoidosis.
Publication Title
The Transcriptional Signature of Active Tuberculosis Reflects Symptom Status in Extra-Pulmonary and Pulmonary Tuberculosis.
Sample Metadata Fields
Sex, Age, Specimen part, Disease, Disease stage, Race
View Samples- Homo sapiens
- 410 Downloadable Samples
- Illumina human-6 v2.0 expression beadchip
Description
This dataset was used to establish whole blood transcriptional modules (n=260) that represent groups of coordinately expressed transcripts that exhibit altered abundance within individual datasets or across multiple datasets. This modular framework was generated to reduce the dimensionality of whole blood microarray data processed on the Illumina Beadchip platform yielding data-driven transcriptional modules with biologic meaning.
Publication Title
Interferon signature in the blood in inflammatory common variable immune deficiency.
Sample Metadata Fields
Disease
View Samples- Homo sapiens
- 39 Downloadable Samples
- Sentrix Human-6 v2 Expression BeadChip
Description
Melioidosis is a severe infectious disease caused by Burkholderia pseudomallei, a gram-negative bacillus classified by the NIAID as a category B priority agent. Septicemia is the most common presentation of the disease with 40% mortality rate even with appropriate treatments. Faster diagnostic procedures are required to improve therapeutic response and survival rates. We have used microarray technology to generate genome-wide transcriptional profiles (>48,000 transcripts) of whole blood obtained from patients with septicemic melioidosis (n=32), patients with sepsis caused by other pathogens (n=31), and uninfected controls (n=29). Unsupervised analyses demonstrated the existence of a whole blood transcriptional signature distinguishing patients with sepsis from control subjects. The majority of changes observed were common to both septicemic melioidosis and sepsis caused by other infections, including genes related to inflammation, interferon-related genes, neutrophils, cytotoxic cells, and T cells. Finally, class prediction analysis identified a 37 transcript candidate diagnostic signature that distinguished melioidosis from sepsis caused by other organisms with 100% and 78% accuracy in training and independent test sets, respectively. This finding was confirmed by the independent validation set, which showed 80% prediction accuracy. This signature was highly enriched in genes coding for products involved in the MHC Class II antigen processing and presentation pathway. Transcriptional patterns of whole blood RNA distinguish patients with septicemic melioidosis from patients with sepsis caused by other pathogens. Once confirmed in a large scale trial this diagnostic signature might constitute the basis of a differential diagnostic assay.
Publication Title
Genomic transcriptional profiling identifies a candidate blood biomarker signature for the diagnosis of septicemic melioidosis.
Sample Metadata Fields
Sex, Age, Treatment, Race
View Samples- Homo sapiens
- 10 Downloadable Samples
Illumina Genome Analyzer IIx
Description
Purpose: To chart the human myometrial transcriptomes before and after the onset of labour. Methods: Tophat splice junction mapping of paired-end reads, HTSeq to generate counts, cufflinks to track transcripts, DESeq, edgeR and baySeq to detect differentially expressed genes and principal component analysis for clustering analyses. Results: We mapped on average 14 million paired-end reads per sample (counting each end individually) to the human genome (build hg19) and covered the expressed transcriptome about 13 times with a TopHat-HTSeq workflow. We performed a comparative analysis with an analogous microarray study (Mittal et al., 2010) and found some overlap between the RNA-seq and the microarray data. Conclusions: Our study is the first RNA-seq study of the human myometrium before and after the onset of labour. We show that while microarray and RNA-seq studies may complement each other, RNA-seq has a much greater resolution. Overall design: At term with and at term without labour human myometrial mRNA profiles were generated by deep sequencing, using Illumina GAIIx (five biological replicates each).
Publication Title
Reconstruction of Cell Surface Densities of Ion Pumps, Exchangers, and Channels from mRNA Expression, Conductance Kinetics, Whole-Cell Calcium, and Current-Clamp Voltage Recordings, with an Application to Human Uterine Smooth Muscle Cells.
Sample Metadata Fields
Specimen part, Subject
View Samples- Homo sapiens, Rattus norvegicus
- 39 Downloadable Samples
Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Temporal induction of immunoregulatory processes coincides with age-dependent resistance to viral-induced type 1 diabetes.
Sample Metadata Fields
Sex
View Samples- Rattus norvegicus
- 33 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
A need exists for biomarkers in T1D that can 1) sensitively and specifically detect disease-related immune activity prior to, and independent of, measurement of auto-antibodies towards islet cell antigens; 2) define immunopathological mechanisms; and 3) monitor changes in the inflammatory state associated with disease progression or response to therapeutic intervention. In an effort to fill this gap, we have applied a novel bioassay to both human and BB rat T1D whereby the complex milieu of inflammatory mediators present in plasma can be indirectly detected through their ability to drive transcription in peripheral blood mononuclear cells (PBMCs) drawn from healthy, unrelated donors. The resultant gene expressions are comprehensively measured with a microarray. In our human studies, we find that plasma of recent-onset T1D patients induces expression of a pro-inflammatory signature consisting in part of many interleukin-1 (IL-1) regulated genes related to immunological activation and immunocyte chemotaxis compared to unrelated healthy controls. This signature has been found to resolve in long-standing T1D subjects (>10 years post-onset), thus associating it with active autoimmunity. Importantly, this signature has been detected in pre-onset samples of progressors to T1D years prior to onset and prior to development of auto-antibodies directed towards islet antigens.
Publication Title
Temporal induction of immunoregulatory processes coincides with age-dependent resistance to viral-induced type 1 diabetes.
Sample Metadata Fields
Sex
View Samples- Homo sapiens
- 22 Downloadable Samples
- Illumina HiSeq 2500
Description
Purpose: The cause of labour initiation has yet to be fully elucidated for human pregnancy. This has hindered attempts to find effective therapies for the prevention of preterm labour, which affects up to 10% of pregnancies in the UK and it is the most dominant cause of perinatal death (75% of all cases). The myometrium of the uterus is where contractions that characterise labour take place, and it is here where changes at the molecular level responsible for triggering labour potential originate from. We used RNA-Seq-based mRNA sequencing technology in an attempt to identify mRNA transcripts that are differentially expressed in the myometrium upon the onset of labour, by comparing the expression profiles of tissues samples that represented non-labour (TNL), early labour (TEaL, = 3 cm cervical dilation) and established labour (TEsL, > 3 cm cervical dilation) states at term (> 37 weeks gestation) pregnancy. Methods: Myometrial biopsies from women undergoing Caesarean section were collected in accordance with the Declaration of Helsinki guidelines, and with approval from the local research ethics committee for Chelsea & Westminster Hospital (London, UK; Ethics No. 10/H0801/45). Informed written consent was obtained from all women who participated. Biopsies were excised from the upper margin of the incision made in the lower segment of the uterus, immediately washed with Dulbecco's phosphate-buffered saline (Sigma) and dissected into pieces approximately measuring 2-3 mm3. For RNA study, biopsies were immersed in RNAlater (Sigma) within 6 minutes after biopsy excision from the uterus and stored at 4°c overnight, before being taken out of RNAlater solution to be frozen for long-term storage at -80°c. For CHIP study, biopsies were snap-frozen in liquid nitrogen and stored at -80°c. All specimens were categorised into four groups according to their labour stages: preterm not in labour (PTNL, n=6), term not in labour (TNL, n=8), term in early labour (TEaL, defined as cervical dilatation <3 cm, n=8) and term in established labour (TEsL, defined as cervical dilatation >3 cm, n=6). For each sample, 60-100 mg of myometrium tissue were extracted in TRIzol (Life Technologies) by mechanical homogenisation in a Precellys 24 bead-based homogeniser using 5 cycles of 5000 rpm for 20 seconds, before chloroform treatment and centrifugation at 4°c. RNA was extracted from the aqueous phase of centrifuged homogenates using the TRIzol Plus RNA Purification kit (Life Technologies) with on-column DNase treatment prior to elution, all according to manufacturer's instructions. Final RNA samples were stored at -80°c. The quantity and quality RNA was measured using a Nanodrop ND-1000 spectrophotometer (LabTech), Qubit fluorimeter (Life Technologies) and Bioanalyser 2100 (Agilent Technologies). Preparation of cDNA libraries was carried out using the TruSeq Stranded mRNA Sample Preparation kit (Illumina), following the high-throughput sample (HT) protocol. The quantity and quality of cDNA libraries were also tested by a Qubit fluorimeter and Bioanalyser 2100. TruSeq Stranded libraries were then multiplexed and sequenced with the average of 42 million DNA fragments per sample (100 bp paired-end reads). Quality control was performed using FastQC software (version 0.11.2). RNA-Seq reads was aligned to the GRCh38 Homo sapiens reference genome downloaded from Ensembl (release 81) with HISAT version 2.0.1 using parameters of --known-splicesite-infile --dta-cufflinks --rna-strandness RF --phred33 –p 4 -q. A list of known splice sites generated from the Ensembl GTF file using an accessory python script included in the HISAT2 package was provided to --known-splicesite-infile, of which HISAT2 will make use to assist the alignment of reads spanning two or more exons. Ensembl annotated a total of 65,989 genes, which includes 20,276 protein coding genes. As one human gene usually contains multiple transcript models, we thus conducted a transcript merging procedure to produce gene level models for expression analysis. Specifically, exons labeled as 'retained_intron' were first excluded, then overlapping interval exons of each gene were merged and a final gene level model was produced in GFF format. Only uniquely mapped (i.e. reads with the tag of NH:i:1) reads were used to produce gene read counts and calculate gene expression levels. The raw read count matrix was normalised with DESeq2 (version 1.6.3). Expression level of each gene in each sample was represented as RPKM (reads per kilobase per million mapped reads). Differentially expressed genes (DEGs) between two groups of samples were identified with DESeq2 (version 1.6.3), edgeR (version 3.8.6) and Cuffdiff (version 2.2.1). For DESeq2 and edgeR, we used the normalised read count matrix as input, and for Cuffdiff, we used the alignment bam files with uniquely mapped reads as input. Raw p-values were adjusted by FDR to produce q-values, and q-value of 0.05 were chosen as the cut-off for statistical significance in DESeq2, edgeR as well as Cuffdiff. Results: 22 RNA samples from three different labour groups were sequenced and an average of 53 million reads were obtained from each sample. More than 97.34% of reads were successfully aligned to GRCh38 reference human genome and the unique concordant pair ratio was greater than 92.39%. In total, 60,593 genes were mapped with the following criteria: (1) at least one RNA-seq read assigned to a gene; (2) we only assign a read to a gene when > 90% of this read falls into the exon regions of this gene. The principal component analysis (PCA) of these 22 samples showed that TNL and TEsL samples formed two distinct clusters whereas the TEaL group featured relatively great internal differences. Nevertheless, half of the samples from TEaL group was clustered with the TNL group and the other half was more separated yet closer to two samples of TEsL group. To determine the transcripts associated with labour, three software packages (DESeq2, EdgeR and Cuffdiff) were used to perform differential expression The transcript with a q value <0.05 in at least two methods was defined as a shared differentially expressed gene (DEG). As a result, 132 and 399 genes were identified comparing TNL with TEaL and TEsL, respectively, whereas no gene was significantly differentially expressed between TEaL and TEsL groups. Due to big differences among individual samples, in this study, the expression fold change (FC) was calculated as the ratio of median reads per kilobase per million mapped reads (RPKMs) with the bigger median RPKM divided by the smaller median RPKM. In order to minimise the noise derived from genes with low expression but high FC, we further filtered gene lists according to the following rational: if the original value of any median RPKM was <1, we artificially turned it into 1 before calculating the FC. Finally, two robust gene lists with an expression FC >1.5 between two groups (TNL vs. TEaL and TNL vs. TEsL) were generated containing 70 and 232 DEGs, respectively. Conclusions: This study, for the first time, identifies differentially expressed genes (DEGs) and pathways that are involved in the myometrial transition from non-labouring to labouring phenotype by using samples from different stages of pregnancy and labour. The DEG lists are generated by subjecting the raw data to three sofware packages (DESeq2, edgeR and Cuffdiff), which makes the yield DEGs more robust. We conclude that some early responsive genes in circadian clock and inflammation pathways are likely to account for the labour onset and no significant changes are found on the transcription level once the labour starts. Overall design: Comparisons made between no labour (TNL, n = 8), early labour (TEaL, n = 8) and established labour (TEsL, n = 6) lower segment myometrial tissue samples, which were collected during Caesarean section (CS) with informed written consent
Publication Title
Myometrial Transcriptional Signatures of Human Parturition.
Sample Metadata Fields
Subject
View Samples- Mus musculus
- 15 Downloadable Samples
- Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Copy number variation in Y chromosome multicopy genes is linked to a paternal parent-of-origin effect on CNS autoimmune disease in female offspring.
Sample Metadata Fields
Sex, Age, Specimen part
View Samples- Homo sapiens
- 6 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
A need exists for biomarkers in T1D that can 1) sensitively and specifically detect disease-related immune activity prior to, and independent of, measurement of auto-antibodies towards islet cell antigens; 2) define immunopathological mechanisms; and 3) monitor changes in the inflammatory state associated with disease progression or response to therapeutic intervention. In an effort to fill this gap, we have applied a novel bioassay to both human and BB rat T1D whereby the complex milieu of inflammatory mediators present in plasma can be indirectly detected through their ability to drive transcription in peripheral blood mononuclear cells drawn from healthy, unrelated donors. The resultant gene expressions are comprehensively measured with a microarray. In our human studies, we find that plasma of recent-onset T1D patients induces expression of a pro-inflammatory signature consisting in part of many interleukin-1 (IL-1) regulated genes related to immunological activation and immunocyte chemotaxis compared to unrelated healthy controls. This signature has been found to resolve in long-standing T1D subjects (>10 years post-onset), thus associating it with active autoimmunity. Importantly, this signature has been detected in pre-onset samples of progressors to T1D years prior to onset and prior to development of auto-antibodies directed towards islet antigens.
Publication Title
Temporal induction of immunoregulatory processes coincides with age-dependent resistance to viral-induced type 1 diabetes.
Sample Metadata Fields
No sample metadata fields
View Samples- Mus musculus
- 6 Downloadable Samples
- Affymetrix Mouse Gene 1.0 ST Array (mogene10st)
Description
The prevalence of some autoimmune diseases (AID) is greater in females compared with males, notwithstanding that disease severity is often greater in males. The reason for this sexual dimorphism (SD) is unknown, but may reflect negative selection of Y chromosome (ChrY) bearing sperm during spermatogenesis or male fetuses early in the course of conception/pregnancy. Previously, we showed that the SD in experimental autoimmune encephalomyelitis (EAE) is associated with copy number variation (CNV) in ChrY multicopy genes. Here, we test the hypothesis that CNV in ChrY multicopy genes influences the paternal parent-of-origin effect on EAE susceptibility in female mice. We show that C57BL/6J consomic strains of mice possessing an identical ChrX and CNV in ChrY multicopy genes exhibit a female biased sex-ratio and sperm head abnormalities, consistent with X-Y intragenomic conflict arising from an imbalance in CNV between homologous ChrX:ChrY multicopy genes. These males also display paternal transmission of EAE to female offspring and differential loading of miRNAs within the sperm nucleus. These findings provide evidence for a genetic mechanism at the level of the male gamete that contributes to the SD in EAE and paternal parent-of-origin effects in female mice, raising the possibility that a similar mechanism may contribute to the SD in MS.
Publication Title
Copy number variation in Y chromosome multicopy genes is linked to a paternal parent-of-origin effect on CNS autoimmune disease in female offspring.
Sample Metadata Fields
Sex, Age, Specimen part
View Samples