Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| ERR1531060.fastq.gz | Fastqsanger.gz | |||
| ERR1531070.fastq.gz | Fastqsanger.gz | |||
| ERR1531080.fastq.gz | Fastqsanger.gz | |||
| ERR1531090.fastq.gz | Fastqsanger.gz | |||
| ERR1531051.fastq.gz | Fastqsanger.gz |
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Similar Datasets
Project description:These three replicates were analyzed in "Genomewide identification of Sko1 target promoters reveals a regulatory network that operates in response to osmotic stress in Saccharomyces cerevisiae. ", by Proft M, Gibbons FD, Copeland M, Roth FP, Struhl K; published in Eukaryot Cell. 2005 Aug;4(8):1343-52. A new analysis algorithm for Chip-chip data ('Chipper') is described in Genome Biology. Manuscript entitled "Chipper: discovering transcription-factor targets from chromatin immunoprecipitation microarrays using variance stabilization." by FD Gibbons, M Proft, K Struhl, and FP Roth. Accepted, no publication date as yet. Keywords: ChIP-chip
2005-09-21 | GSE3335 | GEO
Project description:We report the application of DNA sequencing technology for high-throughput sequencing of mix bis-PCR products totally 38 based on bisulfate treated DNA from human, chimpanzee, gibbon, macaque and crab eating macaque profrontal cortex tissues. Mix bisulfate PCR products from 1 tissues, 23 individula humans, 2 individual chimpanzees, 1 individual gibbons, 7 individual rhesus macaques and 5 crab eating macaques were sequenced by using MiSeq
2016-08-16 | E-GEOD-76788 | biostudies-arrayexpress
Project description:We report the application of DNA sequencing technology for high-throughput sequencing of mix candidate genes' PCR products totally 38 based on DNA from human, chimpanzee, gibbon, macaque and crab eating macaque profrontal cortex tissues. Mix candidate genes PCR products from 1 tissues, 22 individual humans, 2 individual chimpanzees, 1 individual gibbons,15 individual rhesus macaques and 5 crab eating macaques were sequenced by using MiSeq
2016-08-20 | E-GEOD-85867 | biostudies-arrayexpress
Project description:We have developed a 60-mer oligonucleotide multibacterial microarray for detection and expression profiling of biodegradative genes and bacterial diversity (16S rRNA gene) in different habitats contaminated with varieties of hazardous chemicals. The genes selected were involved in biodegradation and biotransformation of various groups of compounds viz. nitroaromatic compounds (148 genes), chloroaromatic compounds (75 genes), monoaromatic compounds (373 genes), polyaromatic hydrocarbons (174 genes), pesticides/ herbicides (34 genes), alkanes/aliphatics (185 genes) and heavy metals (68 genes), which covered a total number of 133 chemicals. The efficiency (specificity, detection sensitivity) of the developed array was evaluated using the labeled genomic DNA of pure bacterial strains, Escherichia coli DH5α and Sphingomonas sp. strain NM-05 (involved in the biodegradation of γ-hexachlorohexane isolated from IPL, Lucknow) at different concentrations of 300ng, 500ng, 800ng, 1000ng and 1250ng. The specificity of the developed array was further validated using mixed cultures containing three strains (Sphingomonas sp. strain NM-05, Rhodococcus sp. strain RHA1 and Bordetella sp. strain IITR-02) involved in biodegradation of γ-hexachlorohexane, biphenyl and chlorobenzenes respectively. The mixed culture also contained non-target/non-degrader strains (E. coli DHα, E.coli BL21 and E.coli K12 NCTC50192). The developed array was applied for profiling using the total soil DNA in five contaminated habitats of north India, viz. chloroaromatic chemicals contaminated site (India Pesticide Limited, Chinhat, Lucknow), a river sediments (Gomti river sediment, Lucknow), heavy metal industry dump site (Jajmau industrial area Kanpur), a effluent treatment plant (CETP along Ganges river near Kanpur), and an oil refinery (Mathura oil refinery). Hybridization of 16S rRNA probes revealed the presence of bacteria similar to well characterized genera involved in biodegradation of pollutants. Genes involved in complete degradation pathways for hexachlorocyclohexane (lin), 1,2,4-trichlorobenzene (tcb), naphthalene (nah), phenol (mph), biphenyl (bph), benzene (ben), toluene (tbm), xylene (xyl), phthalate (pht), Salicylate (sal) and resistance to mercury (mer) were detected with highest intensity. The most abundant genes belonged to hydroxylases, monooxygenases and dehydrogenases which were present in all the five samples. Many compound specific genes which initiate the degradation pathway were also detected. Thus, the array developed and validated here may be useful in assessing the biodegradative potential and composition of environmentally useful bacteria in hazardous ecosystems.
2011-04-15 | GSE24353 | GEO
Project description:We aimed to understand the molecular basis of muscular development in tongue. We focused on the critical stages of tongue myogenesis, namely, E10.5 (settlement of myogenic progenitors in tongue primordium), E11.5 (initiation of myoblast differentiation with the development of lateral lingual swellings).
2014-03-11 | GSE51364 | GEO
Project description:Centromeres are functionally conserved chromosomal loci essential for proper chromosome segregation during cell division, yet they show high sequence diversity across species. A near universal feature of centromeres is the presence of repetitive sequences, such as satellites and transposable elements (TEs). Because of their rapidly evolving karyotypes, gibbons represent a compelling model to investigate divergence of functional centromere sequences across short evolutionary timescales. Previously, we identified a novel composite retrotransposon, LAVA, that is exclusive to gibbons and expanded within the centromere regions of one gibbon genus, Hoolock. In this study, we use ChIP-seq, RNA-seq and fluorescence in situ hybridization to comprehensively investigate the repeat content of centromeres of the four extant gibbon genera (Hoolock, Hylobates, Nomascus and Siamang). We find that CENP-A nucleosomes and the DNA-protein interface with the inner kinetochore are enriched in retroelements in all gibbon genera, rather than satellite DNA. We find that LAVA in Hoolock is enriched in the centromeres of most chromosomes and shows centromere- and species-specific sequence and structural differences compared to other genera, potentially as a result of its co-option to a centromeric function. In contrast, we found that a centromeric retroelement-derived macrosatellite, SST1, corresponds with chromosome breakpoint reuse across gibbons and shows high sequence conservation across genera. Finally, using de novo assembly of centromere-specific sequences, we determine that transcripts originating from gibbon centromeres recapitulate species-specific TE diversity. Combined, our data reveals dynamic, species-specific shifts in repeat content that define gibbon centromeres and coincide with the extensive karyotypic diversity observed within this lineage.
2021-05-24 | GSE161308 | GEO
Project description:The tongue is a muscular organ in the vertebrate oral cavity that performs complex functions in daily life, including feeding and phonetic articulation. The tongue consists of mesenchyme cells of two distinct origins: the muscle cells are derived from occipital somites whereas the tendons and other connective tissues derived from the cranial neural crest. Cranial neural crest cells are important for the initiation of tongue swelling and proper patterning of intrinsic and extrinsic tongue muscle groups. However, little is known regarding the molecular and cellular mechanisms of tongue morphogenesis. We show that the odd-skipped related 1 (Osr1) transcription factor exhibits dynamic expression in the tongue mesenchyme during early tongue development. Tissue-specific inactivation of Osr1 in the early neural crest cells resulted in ectopic cartilage formation in the mouse tongue. We show that Sox9, the master regulator of chondrocyte differentiation, is initially widely expressed in the neural crest derived mesenchyme in the tongue and subsequently down-regulated concomitant by up-regulation of Osr1 expression. Osr1 mutant embryos exhibit persistent expression of Sox9 and chondrocyte differentiation from the neural crest derived tongue mesenchyme. Further biochemical analyses indicate that Osr1 may directly suppresses Sox9 gene expression in the tongue mesenchyme. These data reveal a novel mechanism in suppression of chondrogenic fate during tongue development. Remarkably, the ectopic cartilage in the Osr1 mutant mice resembles the entoglossal cartilage naturally develops in the avian tongue. These results suggest that modulation of expression of Osr1 may underline the evolutionary divergence in tongue cartilage formation. RNAs were isolated from microdissected E12 embryonic mouse tongue of Osr1f/-;Wnt1cre and control littermates and characterized by RNAseq
2013-11-04 | GSE45893 | GEO
Project description:The copper redhorse (Moxostoma hubbsi) is an endangered fish endemic to Quebec, Canada that is only known to spawn in two locations within the Richelieu River, a waterway draining a significant area of agricultural land. Accordingly, concerns have been raised over the impacts that agricultural pesticide contamination of spawning grounds and nursery habitats within the Richelieu River may have on early life stage copper redhorse. We assessed the effects of contaminants on early life stages of copper redhorse and river redhorse (Moxostoma carinatum), a closely related fish that shares the copper redhorse’s habitat and spawning grounds but is distributed more widely and is not yet listed as endangered. Copper and river redhorse embryos (1000 each) were exposed to either Richelieu River water in an in-situ flow-through system or to laboratory water used as a control. We assessed embryos hatching time, incidence of deformities and survival in copper and river redhorses. We then performed RNA sequencing on copper redhorse larvae to better understand changes due to river water exposure. We identified 341 compounds in the river water that were absent from lab water. Pesticide concentrations in the river peaked following rainfall during the spawning season. Embryos exposed to river water hatched prematurely at 63.0 and 59.2 cumulative degree days (CDD) compared to 65.4 and 69.9 CDD in laboratory water for river and copper redhorse, respectively. Copper redhorse exposed to river water also had a significantly lower survival rate than laboratory water (73% vs. 93%). RNA sequencing of copper redhorse revealed 18 differentially expressed genes (DEGs) following river water exposure. Eight of the upregulated DEGs (cd44, il1b, lamb3, lamc2, tgm5, orm1, saa, acod1) are linked to immune function and injury response and 7 of the downregulated DEGs (cpa2, ctrb, cela2a, ctrl, cpa1, prss1, cel) are involved with digestion and nutrient absorption. This study provided valuable data on the effects of anthropogenic contaminants present in the Richelieu River and increased our knowledge on the individual and mixture effects they have on an endangered fish.
2022-06-01 | GSE185175 | GEO
Project description:Today, many contaminants of emerging concern can be measured in waters across the United States, including the tributaries of the Great Lakes. However, just because the chemicals can be measured does not mean that they necessarily result in harm to fish and other aquatic species. Complicating risk assessment in these waters is the fact that aquatic species are encountering the chemicals as mixtures, which may have additive or synergistic risks that cannot be calculated using single chemical hazard and concentration-response information. We developed an in vitro effects-based screening approach to help us predict potential liver toxicity and cancer in aquatic organisms using water from specific Great Lakes tributaries: St. Louis River (MN), Bad River (WI), Fox River (WI), Manitowoc River (WI), Milwaukee River (WI), Indiana Harbor Canal (IN), St. Joseph River (MI), Grand River (MI), Clinton River (MI), River Rouge (MI), Maumee River (OH), Vermilion River (OH), Cuyahoga River (OH), Genesee River (NY), and Oswego River (NY). We exposed HepG2 cells for 48hrs to medium spiked with either field collected water (final concentration of environmental samples in the exposure medium were 75% of the field-collected water samples) or purified water. Using a deep neural network we clustered our collection sites from each tributary based on water chemistry. We also performed high throughput transcriptomics on the RNA obtained from the HepG2 cells. We used the transcriptomics data with our Bayesian Inferene for Sustance and Chemical Toxicity (BISCT) Bayesian Network for Steatosis to predict the probability of the field samples yielding a gene expression pattern consistent with predicting steatosis as an outcome. Surprisingly, we found that the probability of steatosis did not correspond to the surface water chemistry clustering. Our analysis suggests that chemical signatures are not informative in predicting biological effects. Furthermore, recent reports published after we obtained our samples, suggest that chemical levels in the sediment may be more relevant for predicting potential biological effects in the fish species developing tumors in the Great Lakes basin.
2022-12-01 | GSE146903 | GEO