Ontology highlight
ABSTRACT:
PROVIDER: PRJNA974252 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR24655657_1.fastq.gz | Fastqsanger.gz | |||
| SRR24655657_2.fastq.gz | Fastqsanger.gz | |||
| SRR24655658_1.fastq.gz | Fastqsanger.gz | |||
| SRR24655658_2.fastq.gz | Fastqsanger.gz | |||
| SRR24655659_1.fastq.gz | Fastqsanger.gz |
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Project description:Hypersensitivity reactions are rare, but potentially severe adverse effects of sulfonamide antibiotics. Increased in vitro toxicity of lymphocytes, primarily CD8+ T cells, to sulfonamide drug metabolites as been proposed as a marker for sulfonamide hypersensitivity, but the mechanisms underlying this marker are unknown. Therefore, we used microarrays to compare RNA expression of CD8+ T cell-enriched peripheral blood mononuclear cells of human patients who have had a hypersensitivity (HS) reaction to sulfonamide antibiotics vs. patients who have been tolerant (TOL) to a course of sulfonamide antibiotics.
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Project description:Polylactic acid (PLA) is a promising biodegradable material used in various fields, such as mulching films and disposable packaging materials. Biological approaches for completely degrading biodegradable polymers can provide environmentally friendly solutions. However, to our knowledge, no studies have performed transcriptome profiling to analyze PLA-degrading genes of PLA-degrading bacteria. Therefore, this study reports for the first time an RNA sequence approach for tracing genes involved in PLA biodegradation in the PLA-degrading bacterium Brevibacillus brevis. In the interpretation results of the differentially expressed genes, the hydrolase genes mhqD and nap and the serine protease gene besA were up-regulated by a fold change of 7.97, 4.89, and 4.09, respectively. This result suggests that hydrolases play a key role in PLA biodegradation by B. brevis. In addition, Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analyses showed that genes implicated in biofilm formation were upregulated. The biodegradation of PLA starts with bacteria attaching to the surface of PLA and forming a biofilm. Therefore, it could be confirmed that the above genes were up-regulated for access to PLA and biodegradation. Our results provide transcriptome-based insights into PLA biodegradation, which pitch a better understanding of microbial biodegradation of plastics.
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Project description:This study describes a cDNA microarray analysis that compared developing mouse MyoD-/- limb musculature (MyoD-dependent, innervated by Lateral Motor Column motor neurons) and Myf5-/- back (epaxial) musculature (Myf5-dependent, innervated by Medial Motor Column motor neurons) to the control and to each other, at embryonic day 13.5 which coincides with the robust programmed cell death of motor neurons and the inability of myogenesis to undergo its normal progression in the absence of Myf5 and MyoD that at this embryonic day cannot substitute for each other. We wanted to see if/how the myogenic program couples with the neurotrophic one, and also to separate Lateral from Medial column trophic requirements, potentially relevant to Motor Neuron Diseases with the predilection for the Lateral column. Several follow-up steps revealed that Kif5c, Stxbp1 and Polb, differentially expressed in the MyoD-/- limb muscle, and Ppargc1a, Glrb and Hoxd10, differentially expressed in the Myf5-/- back muscle, are actually regulators of motor neuron numbers. We propose a series of follow-up experiments and various ways to consider our current data.
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Project description:Human histomonocytic U937 cells exhibit macrophage-like properties after phorbol ester stimulation. Accumulating evidence demonstrated that remarkable number of transcripts changed in their amount at total RNA levels. However, post-transcriptional regulation has not been fully elucidated in this model. Thus, we compared expression profiles between polysomal and cytoplasmic RNAs before and after phorbol 12-myristate 13-acetate stimulation (48h, 32nM). Table 1: Detailed description of the expression data of human histomonocytic cell line U937 cells. Data of total cytoplasmic and polysomal fractions before and after PMA stimulation is shown. This table contains all spot data except: 1) saturated spots, 2) undetectable spots, 3) stained spots, and 4) spots only detected in less than one samples. Column A: Gene symbol (“I_xxxxxx” is corresponding to EST clones) Column B: Genbank accession no. Column C: Description Column D: Average value of expression levels in total cytoplasmic fraction in the absence of PMA Column E: Average value of expression levels in total cytoplasmic fraction in the presence of PMA (32nM, 48h) Column F: Average value of expression levels in polysomal fraction in the absence of PMA Column G: Average value of expression levels in polysomal fraction in the presence of PMA Column H: Expression ratio of polysome, PMA (-) to cytoplasm, PMA(-) Column I: Expression ratio of polysome, PMA (+) to cytoplasm, PMA(+) Column J: Expression ratio of cytoplasm, PMA (+) to cytoplasm, PMA(-) Column K: Expression ratio of polysome, PMA (+) to polysome, PMA(-) Column L: Different expression between polysome, PMA (-) and cytoplasm, PMA(-): different=1 Column M: Different expression between polysome, PMA (+) and cytoplasm, PMA(+): different=1 Column N: Different expression between cytoplasm, PMA (+) and cytoplasm, PMA(-): different=1 Column O: Different expression between polysome, PMA (+) and polysome, PMA(-): different=1 Table 2: Candidates post-transcriptionally regulated by PMA. We extracted 105 transcripts whose expression levels were altered only in either fraction accompanied by changes in polysome/cytoplasm expression ratio. Column A: Gene symbol (“I_xxxxxx” is corresponding to EST clones) Column B: Genbank accession no. Column C: Description Column D: Average value of expression levels in total cytoplasmic fraction in the absence of PMA Column E Average value of expression levels in total cytoplasmic fraction in the presence of PMA Column F: Average value of expression levels in polysomal fraction in the absence of PMA Column G: Average value of expression levels in polysomal fraction in the presence of PMA Column H: Expression ratio of polysome, PMA (-) to cytoplasm, PMA(-) Column I: Expression ratio of polysome, PMA (+) to cytoplasm, PMA(+) Column J: Expression ratio of cytoplasm, PMA (+) to cytoplasm, PMA(-) Column K: Expression ratio of polysome, PMA (+) to polysome, PMA(-) Keywords = phorbol ester Keywords = macrophage Keywords = polysome Keywords = post-transcriptional regulation Keywords: parallel sample
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Project description:Understanding the bacterial community structure, and their functional analysis for active bioremediation process is essential to design better and cost effective strategies. Microarray analysis enables us to simultaneously study the functional and phylogenetic markers of hundreds of microorganisms which are involved in active bioremediation process in an environment. We have previously described development of a hybrid 60-mer multibacterial microarray platform (BiodegPhyloChip) for profiling the bacterial communities and functional genes simultaneously in environments undergoing active bioremediation process (Pathak et al; Appl Microbiol Biotechnol,Vol. 90, 1739-1754). The present study involved profiling the status of bacterial communities and functional (biodegradation) genes using the developed 60-mer oligonucleotide microarray BiodegPhyloChip at five contaminated hotspots in the state of Gujarat, in western India. The expression pattern of functional genes (coding for key enzymes in active bioremediation process) at these sites was studied to understand the dynamics of biodegradation in the presence of diverse group of chemicals. The results indicated that the nature of pollutants and their abundance greatly influence the structure of bacterial communities and the extent of expression of genes involved in various biodegradation pathways. In addition, site specific factors also play a pivotal role to affect the microbial community structure as was evident from results of 16S rRNA gene profiling of the five contaminated sites, where the community structure varied from one site to another drastically.
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