RNAseq study (root and shoot) of Holcus lanatus ecotypes selected from two widely contrasting habitats, acid bog (pH 3.5) or limestone quarry spoil (pH 7.5)
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ABSTRACT:
PROVIDER: PRJEB11654 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| ERR1109890_1.fastq.gz | Fastqsanger.gz | |||
| ERR1109890_2.fastq.gz | Fastqsanger.gz | |||
| ERR1109900_1.fastq.gz | Fastqsanger.gz | |||
| ERR1109900_2.fastq.gz | Fastqsanger.gz | |||
| ERR1109910_1.fastq.gz | Fastqsanger.gz |
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Project description:The aim of this study was to investigate ecotypic adaptation in Holcus lanatus in plants selected from two widely contrasting habitats, acid bog (pH 3.5) or limestone quarry spoil (pH 7.5), using a transcriptome based analysis approach including sequence analysis of root associated Glomeromycota. Differential gene expression in root and shoot of naturally occurring H. lanatus ecotypes, selected from either habitat and grown in a full factorial reciprocal soil transplant experiment were investigated and ecotype specific SNPs identified.
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Project description:Intracellular pH (pHi) dynamics regulates diverse cell processes such as proliferation, dysplasia, and differentiation, often mediated by the protonation state of a functionally critical histidine residue in endogenous pH sensing proteins. How pHi dynamics can directly regulate gene expression and whether transcription factors can function as pH sensors has received limited attention. We tested the prediction that transcription factors with a histidine in their DNA binding domain (DBD) that forms hydrogen bonds with nucleotides can have pH-regulated activity, which is relevant to more than 85 transcription factors in distinct families, including FOX, KLF, SOX and MITF/Myc. Focusing on FOX family transcription factors, we used unbiased SELEX-seq to identify pH-dependent DNA binding motif preferences, then confirm pH-regulated binding affinities for FOXC2, FOXM1, and FOXN1 to a canonical FkhP DNA motif that are 2.5 to 7.5 greater at pH 7.0 compared with pH 7.5. For FOXC2, we also find greater activity for an FkhP motif at lower pHi in cells and that pH-regulated binding and activity are dependent on a conserved histidine (His122) in the DBD. RNA-seq with FOXC2 also reveals pH-dependent differences in enriched promoter motifs. Our findings identify pH-regulated transcription factor-DNA binding selectivity with relevance to how pHi dynamics can regulate gene expression for myriad cell behaviours.
2024-06-24 | GSE270232 | GEO
Project description:Intracellular pH (pHi) dynamics regulates diverse cell processes such as proliferation, dysplasia, and differentiation, often mediated by the protonation state of a functionally critical histidine residue in endogenous pH sensing proteins. How pHi dynamics can directly regulate gene expression and whether transcription factors can function as pH sensors has received limited attention. We tested the prediction that transcription factors with a histidine in their DNA binding domain (DBD) that forms hydrogen bonds with nucleotides can have pH-regulated activity, which is relevant to more than 85 transcription factors in distinct families, including FOX, KLF, SOX and MITF/Myc. Focusing on FOX family transcription factors, we used unbiased SELEX-seq to identify pH-dependent DNA binding motif preferences, then confirm pH-regulated binding affinities for FOXC2, FOXM1, and FOXN1 to a canonical FkhP DNA motif that are 2.5 to 7.5 greater at pH 7.0 compared with pH 7.5. For FOXC2, we also find greater activity for an FkhP motif at lower pHi in cells and that pH-regulated binding and activity are dependent on a conserved histidine (His122) in the DBD. RNA-seq with FOXC2 also reveals pH-dependent differences in enriched promoter motifs. Our findings identify pH-regulated transcription factor-DNA binding selectivity with relevance to how pHi dynamics can regulate gene expression for myriad cell behaviours.
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Project description:RNA-sequencing of Rreb1+/+ and Rreb1-/- embryonic day 7.5 mouse embryos
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Project description:We aim to compare the genomic discrepancies across de novo Ph+ ALL, Ph+ MPAL and Ph+ AML, three diseases characterized by the occurrence of BCR-ABL1 transcripts but showing varied immunophenotypes. The data we are now submitting is the genomic copy number variants of these three groups. The following is the abstract with associated manuscript. The chromosome abnormality of Philadelphia (Ph) is typically seen in de novo acute lymphoblastic leukemia (ALL). It has also been identified in mixed phenotype acute leukemia (MPAL) and acute myeloid leukemia (AML) in the revisions to World Health Organization classification of myeloid neoplasms and actue leukemia. The discrepancies between these patients and potential mechanisms underlying differentiation fate of the leukemia cells remain poorly defined. We evaluated the clinical, genomic and transcriptomic features of Ph+ ALL, Ph+ MPAL and Ph+ AML by taking advantage of high-density genomic analysis, including next-generation sequencing array comparative genomic hybridization and gene expression profiling for transcriptomic analysis. Our results showed that the three cohorts demonstrated diversified clinical features. Ph+ ALL had the best response to induction therapy, with a complete remission (CR) rate of 93.5 and molecular response of 43.5%. Ph+ MPAL had a 90.0% CR rate but only 5.9% of molecular response. The CR rate of Ph+ AML was only 68.8%. Ph+ ALL was characterized by loss and mutations of B-cell development gene IKZF1 and PAX5, and frequent histone H3K36 trimethyltransferase SETD2 mutations. SETD2 mutations were detected in 11.3% of Ph+ ALL patients and predicted higher relapse rate. Ph+ MPAL and Ph+ AML featured high frequency of RUNX1 mutations. Further studies showed RUNX1-R177X mutation inhibited 32D cell differentiation induced by G-Csf, and cooperated with BCR-ABL1 to lead to myeloid differentiation arrest of human cord blood CD34+ cells. It is therefore presumed that these additional mutations work in synergy with BCR-ABL1 fusion gene to facilitate the development of Ph-positive acute leukemia in different immunophenotypic classifications.
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Project description:Background: Genes upregulated by low oxygen have been suggested as endogenous markers for tumor hypoxia. Yet, most of the genes investigated have shown inconsistent results, which have led to concerns about their ability to be true hypoxia markers. Previous studies have demonstrated that expression of hypoxia induced genes can be affected by extracellular pH (pH e ). Methods: Five different human cell lines (SiHa, FaDu DD, UTSCC5, UTSCC14 and UTSCC15) were exposed to different oxygen concentrations and pH (7.5 or 6.3), and gene expression analyzed with microarray (Affymetrix - Human Genome U133 Plus 2.0 Array). Results: An analysis of two of the cell lines using SAM identified 461 probesets that were able to separate the four groups “ Normal oxygen, normal pH ” , “ Low oxygen, normal pH ” , “ Normal oxygen, low pH ” and “ Low oxygen, low pH ” . From here it was possible to identify a fraction of probesets induced at low oxygen independent of pH in these two cell lines, this fraction included HIG2, NDRG1, PAI1 and RORA. Further verifi cation by qPCR highlighted the necessity of using more cell lines to obtain a robust gene expression profi les. To specifi cally select pH independent hypoxia regulated genes across more cell lines, data for FaDu DD, UTSCC5, UTSCC14 and UTSCC15 were analyzed to identify genes that were induced by hypoxia in each cell line, where the induction was not affected by low pH, and where the gene was not signifi cantly induced by low pH alone. Each cell line had 65 – 122 probesets meeting these criteria. For genes to be considered as target genes (hypoxia inducible pH independent), genes had to be present in three of four cell lines. Conclusion: The result is a robust hypoxia profile unaffected by pH across cell lines consisting of 27 genes. This study demonstrates a way to identify hypoxia markers by microarray, where other factors in the tumor microenvironment are taken into account.
2015-06-20 | GSE70051 | GEO
Project description:Copy number variations of Ph+ ALL, Ph+ MPAL and Ph+ AML
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