Paucidesulfovibrio gracilis DSM 16080
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA234952 | ENA |
REPOSITORIES: ENA
Dataset's files
| Action | DRS | |||
|---|---|---|---|---|
| SRR3502912.fastq.gz | Fastqsanger.gz |
Items per page: 5 1 - 1 of 1 |
Similar Datasets
Project description:Mucilaginibacter gracilis DSM 18602 genome sequencing
| PRJNA332072 | ENA
Project description:Profile the microRNA expression in the Gracilis muscle of rat after 4h ischemia and 24 h reperfusion Following 4 h of ischemia and subsequent reperfusion for 4 h of the gracilis muscles, the specimens were analyzed with an Agilent rat miRNA array to detect the expressed miRNAs in the experimental muscles compared to those from the sham-operated controls.
2010-04-22 | GSE21405 | GEO
Project description:Investigation of whole genome gene expression level changes in Lactococcus lactis KCTC 3769T,L. raffinolactis DSM 20443T, L. plantarum DSM 20686T, L. fujiensis JSM 16395T, L. garvieae KCTC 3772T, L. piscium DSM 6634T and L. chungangensis CAU 28T . This proves that transcriptional profiling can facilitate in elucidating the genetic distance between closely related strains.
2014-05-28 | GSE58002 | GEO
Project description:We sequenced and assembled a detailed transcriptome and draft genome for E. gracilis Z1. To improve annotation and investigate gene expression in E. gracilis, where most transcripts are also trans-spliced, we conducted comparative proteomic and transcriptomic analysis between light and dark-adapted E. gracilis. The analysis revealed that alterations to protein abundance are controlled post-transcriptionally, surprisingly similar to trypanosomatids.
2019-01-14 | PXD009998 | Pride
Project description:Investigation of whole genome gene expression level changes in Lactococcus lactis KCTC 3769T,L. raffinolactis DSM 20443T, L. plantarum DSM 20686T, L. fujiensis JSM 16395T, L. garvieae KCTC 3772T, L. piscium DSM 6634T and L. chungangensis CAU 28T . This proves that transcriptional profiling can facilitate in elucidating the genetic distance between closely related strains. A one chip study using total RNA recovered from of L. raffinolactis DSM 20443T, L. plantarum DSM 20686T, L. fujiensis JSM 16395T, L. garvieae KCTC 3772T, L. piscium DSM 6634T and L. chungangensis CAU 28T . For the the transcriptome of of L. raffinolactis DSM 20443T, L. plantarum DSM 20686T, L. fujiensis JSM 16395T, L. garvieae KCTC 3772T, L. piscium DSM 6634T and L. chungangensis CAU 28T was analyzed using the Lactococcus lactis KCTC 3769T microarray platform
2014-05-28 | E-GEOD-58002 | biostudies-arrayexpress
Project description:Oregonia gracilis mitochondrial Genome sequencing
| PRJNA687105 | ENA
Project description:Experimentally mapped transcriptome structure of Pyrococcus furiosus DSM 3638 by hybridizing total RNA (including RNA species <200 nt) to genome-wide high-density tiling arrays (60 mer probes tiled every 16 nt).
2011-06-27 | GSE26778 | GEO
Project description:Supplement S1: Figure S1. (a) Effect of culture age of Euglena gracilis on gene expression, determined with gene arrays analysis. Total number of differentially expressed genes classified into groups of fold-change-ranges in Euglena gracilis cells of different culture age (5 d, 9 d, 11 d) compared to culture age of six days. Underlying data are presented under the figure or in “FC in classes”, respectively. The total number of investigated genes on microarray was n = 20296. Data were retrieved from four independent cell cultures. (b) Effect of culture age of Euglena gracilis on gene expression. Fraction of differentially expressed genes in percent of all investigated transcripts [n = 20,396] classified into groups of fold-change-ranges in Euglena gracilis cells of different culture age (5 d, 9 d, 11 d) compared to culture age of six days. Underlying data are presented under the figure or in “FC in classes”, respectively. For more details, please see the legend Figure S1 a. (c) Effect of culture age of Euglena gracilis on gene expression. Fraction differentially expressed genes (DEGs) above (“upregulation”), below (“downregulation”) or above AND below (“all”), respectively a certain threshold (th). In contrast to (b), where the fold changes are provided in classes, all DEGs above, below, or above AND below as certain threshold are summarized. In addition, Supplement S1 contains all raw data about all DEGs detected and a rankling of the genes regarding their fold changes (FCs). Supplement S2: Determination of differential gene expression with respect to culture age in Euglena gracilis, obtained with micro-arrays. The table “Overlapping DEGs” contains all transcripts, which were found to be differentially expressed in Euglena gracilis at all three investigated days of culture age (5, 9, or 11 days, respectively), against the 6-day samples. In the table “Overlapping DEGs ranked”, the data are ranked according to their fold change. Supplement S3: Transcription of Euglena gracilis cells of different culture age (5, 9, and 11 d, respectively) was compared with the transcription of cells after 6 days of culturing. All data were obtained in quadruplicate. This supplementary data show the possible functions of the proteins encoded by the DEGs (differentially expressed genes), which were differentially expressed for the corresponding days. Table “Diff transcripts funct.” gives a general overview about gene expression changes for all days. The other tables list the possible function of the DEGs for each particular day. The lists only contain genes where a function could be assigned. Complete lists of DEGs also including transcripts with unknown function are provided in Supplement S1. Supplement S4: Determination of gene expression changes with respect to culture age in Euglena gracilis samples of cells were analyzed after 5 d, 9 d, and 11 days of growth in batch cultures, and their gene expression was compared with the gene expression of cells with a culture age of 5 d. For each day, the number of differentially expressed genes (DEGs) each showing the same GO terms were summed up. In order to correlate these changes with the number of all genes with the same GO term in Euglena gracilis, data from sequencing projects were employed [1,2]. Genes with the same GO terms were counted and correlated with the number of observed DEGs in Euglena gracilis. In the first table, GO terms of DEGs were assigned to corresponding days of culturing and correlated with the data of [1, 2] (total numbers and ratios). Diagram “Ratio of DEGs compared to Cordoba et al. [%]” visualizes the ratio of DEGs with total data of [7]. The second diagram shows the number of GO terms of DEGs, which were found at day 9 AND day 11. The change between the two days is provided. Data are visualized in the diagram “Fraction of DEGs of a certain GO over time”. Ref. [2]: Additional file 2: Table S1 “proteome”. Ref. [1]: Supplementary Data, Table S2. Supplement S5: Amino acid sequences of proteins, which were found to become differentially expressed with respect to culture age of Euglena gracilis cultures. [1] Cordoba, J.; Perez, E.; Van Vlierberghe, M.; Bertrand, A.R.; Lupo, V.; Cardol, P.; Baurain, D. De novo transcriptome meta-assembly of the mixotrophic freshwater microalga Euglena gracilis. Genes 2021, 12, 842. https://doi.org/10.3390/genes12060842. [2] Ebenezer, T.E.; Zoltner, M.; Burrell, A.; Nenarokova, A.; Novák Vanclová, A.M.G.; Prasad, B.; Soukal, P.; Santana-Molina, C.; O’Neill, E.; Nankissoor, N.N.; et al. Transcriptome, proteome and draft genome of Euglena gracilis. BMC Biol. 2019, 17, 11. https://doi.org/10.1186/s12915-019-0626-8.
2024-04-01 | E-MTAB-13906 | biostudies-arrayexpress
Project description:Transcriptional profiling of rat gracilis muscle after ischemia 4h and reperfusion for 1d, 3d, 7d and 14d v.s. sham control, and correlate the downregulated transcripts to the computational predicted gene targets of ron-miR-21 Following 4 h of ischemia and subsequent reperfusion for 4 h of the gracilis muscles, three miRNAs (miR-21, miR-200c, and miR-205) of 350 tested rat miRNAs were found to have an increased expression in the miRNA array.The expression of the mRNA in the muscle specimens after 4 h of ischemia and reperfusion for 1, 3, 7, and 14 d were detected with the Agilent Whole Rat Genome 4 × 44 k oligo microarray. A combined approach using a computational prediction algorithm that included miRanda, PicTar, TargetScanS, MirTarget2, RNAhybrid, and the whole genome microarray experiment was performed by monitoring the mRNA:miRNA association to identify potential target genes.
2010-04-22 | GSE21406 | GEO