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GSE78150
Homo sapiens
422 Downloadable Samples
Affymetrix Human Transcriptome Array 2.0 (hta20)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Effect of Human Genetic Variability on Gene Expression in Dorsal Root Ganglia and Association with Pain Phenotypes.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 209 Downloadable Samples
- Affymetrix Human Transcriptome Array 2.0 (hta20)
Description
Single nucleotide polymorphisms (SNP) can affect mRNA gene expression, in a tissue-specific manner. In this work we survey association of SNP alleles with mRNA gene expression in human dorsal root ganglions (DRG) to gain insights into pathophysiology of pain phenotypes.
Publication Title
Effect of Human Genetic Variability on Gene Expression in Dorsal Root Ganglia and Association with Pain Phenotypes.
Sample Metadata Fields
Specimen part
View Samples- Homo sapiens
- 116 Downloadable Samples
- Affymetrix Human Transcriptome Array 2.0 (hta20)
Description
Single nucleotide polymorphisms (SNP) can affect mRNA gene expression, in a tissue-specific manner. In this work we survey association of SNP alleles with mRNA gene expression in human dorsal root ganglions (DRG) to gain insights into pathophysiology of pain phenotypes.
Publication Title
Effect of Human Genetic Variability on Gene Expression in Dorsal Root Ganglia and Association with Pain Phenotypes.
Sample Metadata Fields
Specimen part
View Samples- Rattus norvegicus
- 56 Downloadable Samples
- Affymetrix Rat Genome U34 Array (rgu34a)
Description
Not all patients with nerve injury develop neuropathic pain. The extent of nerve damage and age at the time of injury are two of the few risk factors identified to date. In addition, preclinical studies show that neuropathic pain variance is heritable. To define such factors further, we performed a large-scale gene profiling experiment which plotted global expression changes in the rat dorsal root ganglion in three peripheral neuropathic pain models. This resulted in the discovery that the potassium channel alpha subunit KCNS1, involved in neuronal excitability, is constitutively expressed in sensory neurons and markedly downregulated following nerve injury. KCNS1 was then characterized by an unbiased network analysis as a putative pain gene, a result confirmed by single nucleotide polymorphism association studies in humans. A common amino acid changing allele, the 'valine risk allele', was significantly associated with higher pain scores in five of six independent patient cohorts assayed (total of 1359 subjects). Risk allele prevalence is high, with 18-22% of the population homozygous, and an additional 50% heterozygous. At lower levels of nerve damage (lumbar back pain with disc herniation) association with greater pain outcome in homozygote patients is P = 0.003, increasing to P = 0.0001 for higher levels of nerve injury (limb amputation). The combined P-value for pain association in all six cohorts tested is 1.14 E-08. The risk profile of this marker is additive: two copies confer the most, one intermediate and none the least risk. Relative degrees of enhanced risk vary between cohorts, but for patients with lumbar back pain, they range between 2- and 3-fold. Although work still remains to define the potential role of this protein in the pathogenic process, here we present the KCNS1 allele rs734784 as one of the first prognostic indicators of chronic pain risk. Screening for this allele could help define those individuals prone to a transition to persistent pain, and thus requiring therapeutic strategies or lifestyle changes that minimize nerve injury.
Publication Title
Multiple chronic pain states are associated with a common amino acid-changing allele in KCNS1.
Sample Metadata Fields
Age
View Samples- Homo sapiens
- 7 Downloadable Samples
- Affymetrix Human Genome U133 Plus 2.0 Array (hgu133plus2)
Description
Ewing's Sarcoma cell lines were made resistant to different IGF-1R drugs to investigate mechanisms and pathways modulated by the resistance.
Publication Title
Identification of common and distinctive mechanisms of resistance to different anti-IGF-IR agents in Ewing's sarcoma.
Sample Metadata Fields
Cell line
View Samples- Mus musculus
- 50 Downloadable Samples
- Affymetrix Mouse Genome 430 2.0 Array (mouse4302)
Description
We used microarray-based expression genomics in 25 inbred mouse strains to identify dorsal root ganglion (DRG)-expressed genetic contributors to mechanical allodynia a prominent symptom of chronic pain.
Publication Title
The nicotinic α6 subunit gene determines variability in chronic pain sensitivity via cross-inhibition of P2X2/3 receptors.
Sample Metadata Fields
Sex, Age, Specimen part
View Samples- Homo sapiens
- 18 Downloadable Samples
- Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
This SuperSeries is composed of the SubSeries listed below.
Publication Title
Identification of post-transcriptional regulatory networks during myeloblast-to-monocyte differentiation transition.
Sample Metadata Fields
Specimen part, Treatment
View Samples- Homo sapiens
- 18 Downloadable Samples
- Affymetrix Human Gene 1.0 ST Array (hugene10st)
Description
Treatment of leukemia cells with 1,25-dihydroxyvitamin D3 may overcome their differentiation block and lead to the transition from myeloblasts to monocytes. To identify microRNA-mRNA networks relevant for myeloid differentiation, we profiled the expression of mRNAs and microRNAs associated to the low- and high-density ribosomal fractions in leukemic cells and in their differentiated monocytic counterpart. Intersection between mRNAs shifted across the fractions after treatment with putative target genes of modulated microRNAs showed a series of molecular networks relevant for the monocyte cell fate determination
Publication Title
Identification of post-transcriptional regulatory networks during myeloblast-to-monocyte differentiation transition.
Sample Metadata Fields
Specimen part, Treatment
View Samples- Arabidopsis thaliana
- 199 Downloadable Samples
Illumina HiSeq 2000
Description
To understand the population genetics of structural variants (SVs), and their effects on phenotypes, we developed an approach to mapping SVs, particularly transpositions, segregating in a sequenced population, and which avoids calling SVs directly. The evidence for a potential SV at a locus is indicated by variation in the counts of short-reads that map anomalously to the locus. These SV traits are treated as quantitative traits and mapped genetically, analogously to a gene expression study. Association between an SV trait at one locus and genotypes at a distant locus indicate the origin and target of a transposition. Using ultra-low-coverage (0.3x) population sequence data from 488 recombinant inbred Arabidopsis genomes, we identified 6,502 segregating SVs. Remarkably, 25% of these were transpositions. Whilst many SVs cannot be delineated precisely, PCR validated 83% of 44 predicted transposition breakpoints. We show that specific SVs may be causative for quantitative trait loci for germination, fungal disease resistance and other phenotypes. Further we show that the phenotypic heritability attributable to sequence anomalies differs from, and in the case of time to germination and bolting, exceeds that due to standard genetic variation. Gene expression within SVs is also more likely to be silenced or dysregulated, as inferred from RNA-seq data collected from a subset of just over 200 of the MAGIC lines. This approach is generally applicable to large populations sequenced at low-coverage, and complements the prevalent strategy of SV discovery in fewer individuals sequenced at high coverage. Overall design: 209 samples consisting of different inbred lines from the Multiparent Advance Generation InterCross (MAGIC) population in the reference plant, Arabidopsis thaliana. For each sample, RNA was collected from the aerial shoot at the 4th true leaf stage, and Illumina mRNA-seq libraries were constructed (a single library was constructed with each line; that is, each MAGIC line is represented by one biological replicate). Using these libraries, which were non-stranded, paired-end 100 bp RNA-seq Illumina reads were generated for each sample, and used to quantify gene expresison in each MAGIC line. The resulting expression phenotypes are suitable for describing the impacts of genetic variation in the MAGIC line founders on the control of gene expression.
Publication Title
Genomic Rearrangements in <i>Arabidopsis</i> Considered as Quantitative Traits.
Sample Metadata Fields
Subject
View Samples- Homo sapiens
- 30 Downloadable Samples
- Affymetrix Human Transcriptome Array 2.0 (hta20)
Description
The p90 ribosomal S6 kinase (RSK) family, a downstream target of Ras/extracellular signal-regulated kinase (ERK) signaling, can mediate cross-talk with the mammalian target of rapamycin complex 1 (mTORC1) pathway. As RSK connects two oncogenic pathways in gliomas, we investigated the protein levels of the RSK isoforms RSK1-4 in non-tumoral brain (NB) and grade I-IV gliomas. RSK4 expression was not detected in any brain tissues, whereas RSK3 expression was very low, with GBMs demonstrating the lowest RSK3 protein levels. When compared to NB or low-grade gliomas (LGG), a group of glioblastomas (RSK1hi) that excluded long-survivor cases expressed higher levels of RSK1. No difference was observed in RSK2 median-expression levels among NB and gliomas; however, high levels of RSK2 in glioblastomas (GBM) were associated with worse survival. RSK1hi and, to a lesser extent, RSK2hi GBMs, showed higher levels of phosphorylated RSK, which indicates RSK activation. Transcriptome analysis indicated that most RSK1hi GBMs belonged to the mesenchymal subtype, and RSK1 expression strongly correlated with gene expression signature of immune infiltrates, in particular of activated-natural killer cells and M2 macrophages. In an independent cohort, we confirmed that RSK1hi GBMs exclude long-survivors, and RSK1 expression was associated with high protein levels of the mesenchymal subtype marker LAPTM5, as well as with high expression of CD68, which indicated the presence of infiltrating immune cells. An RSK1 signature was obtained based on differentially expressed mRNAs and validated in public glioma datasets. Enrichment of RSK1 signature followed glioma progression, recapitulating RSK1 protein expression, and was associated with worse survival not only in GBM but also in LGG. In conclusion, both RSK1 and RSK2 associate with glioma malignity, but displaying isoform-specific peculiarities. The progression-dependent expression and association with immune infiltration, suggests RSK1 as a potential progression marker and therapeutic target for gliomas.
Publication Title
Aberrant expression of RSK1 characterizes high-grade gliomas with immune infiltration.
Sample Metadata Fields
Specimen part
View Samples