Methanopyrus kandleri small RNA analysis
Ontology highlight
ABSTRACT:
ORGANISM(S): Methanopyrus kandleri AV19
PROVIDER: GSE44979 | GEO | 2013/05/03
SECONDARY ACCESSION(S): PRJNA192683
REPOSITORIES: GEO
Similar Datasets
Project description:We report the profiling of small RNAs from Methanopyrus kandleri by high throughput sequencing. Over 83 million Illumina Hi Seq2000 reads were obtained for six independent RNA libraries. The reads were mapped to the M. kandleri AV19 genome (Genbank: NC_003551, 1694969 bp). The small RNome of M. kandleri was analyzed. Analysis of small RNome from six Methanopyrus kandleri RNA samples
2013-05-03 | E-GEOD-44979 | biostudies-arrayexpress
Project description:To identity the targets of miRNAs, we bundled 12 samples from different developing satages into four mixture samples. These samples were used to cosntruct degradome libraries and preform degradome sequencing on Illumina Hi-seq 2000 analyzer. More than 44.98 millions clean reads were obtained and 33.52 million reads were mapped to the soybean cDNA. The mapped reads were used to identity miRNA targets by CleaveLand4 pipeline.
2017-05-01 | GSE72903 | GEO
Project description:The multidrug resistance-encoding plasmids belonging to the IncA/C incompatibility group have recently emerged among Escherichia coli and Salmonella enterica in the United States. These plasmids have a unique genetic structure compared to other enterobacterial plasmid types, a broad host range, and propensity to acquire large numbers of antimicrobial resistance genes via their accessory regions. Using E. coli strain DH5M-NM-1 harboring the prototype IncA/C plasmid pAR060302, we sought to define the baseline transcriptome of IncA/C plasmids under laboratory growth and in the face of selective pressure. The effects of ampicillin, florfenicol or streptomycin exposure were compared to cells left untreated at logarithmic phase using Illumina sequencing (RNA-Seq). Under growth in Luria-Bertani broth lacking antibiotics, much of the backbone of pAR060302 was transcriptionally inactive, including its putative transfer regions. A few plasmid backbone genes of interest were highly transcribed, including genes of a putative toxin-antitoxin system and an H-NS-like transcriptional regulator. In contrast, numerous genes within the accessory regions of pAR060302 were highly transcribed, including the resistance genes floR, blaCMY-2, aadA, and aacA. Antibiotic treatment with ampicillin or streptomycin resulted in no genes being differentially expressed compared to controls lacking antibiotics, suggesting that many of the resistance-associated genes are not differentially expressed due to exposure to these antibiotics. In contrast, florfenicol treatment resulted in the up-regulation of floR and numerous chromosomally encoded genes. Overall, the transcriptome mapping of pAR060302 suggests that it mitigates the fitness costs of carrying resistance-associated genes through global regulation with its transcriptional regulators. Bacterial strains and growth conditions. E. coli strain DH5M-NM-1 harboring pAR060302 was grown in 10 mL DifcoTM Luria-Bertani (LB) broth aliquots at 37M-BM-: C with shaking until an OD600 of 0.5. A total of 8 cultures were independently grown representing two biological replicates per condition tested. Six of the cultures were amended, 2 cultures per antibiotic, with ampicillin (50 M-BM-5g/mL final concentration), florfenicol (30 M-BM-5g/mL final concentration), or streptomycin (50 M-BM-5g/mL final concentration) and allowed to incubate at 37M-BM-: C with shaking for an additional 30 min. Two cultures were not amended with any antibiotic. Cells were pelleted and RNA was purified using a commercially available RNA extraction kit (Qiagen). RNA preparations were then subjected to a DNase treatment to eliminate DNA contamination from the sample (Qiagen). A treatment was also included to deplete ribosomal RNA using a commercially available kit (MicrobExpress, Ambion). The two biological replicates for each growth condition were pooled for sequencing. Ilumina sequencing for transcriptome mapping. cDNA libraries were generated with an insert size of 100 bp and sequenced with 76-base cycles of single-end reads using a Genome Analyzer II (Illumina) platform according to manufacturerM-bM-^@M-^Ys protocols at the Biomedical Genomics Center (University of Minnesota, Minneapolis, Minnesota, USA). Approximately 160,000 plasmid-mapped reads each were obtained for the ampicillin and streptomycin treated samples, and 260,000 plasmid-mapped reads each for the control and florfenicol treatment samples. Genome-mapped read counts were as follows: control, ~6.4 million reads, florfenicol treatment, ~5.7 million reads, ampicillin treatment, ~1.7 million reads, and streptomycin treatment, ~5.2 million reads. We only used those reads uniquely mapped on plasmid or chromosomal DNA for global normalization and further analysis. RNAseq data analysis. cDNA reads were trimmed so that the quality at each base position was above 30 (~15-20 bp) and then mapped either to the E. coli K-12 MG1655 published genome sequence (Genbank accession no. NC_000913) or to the pAR060302 published sequence (Genbank accession no. NC_092692) using BOWTIE. The E. coli strain DH5M-NM-1 has an incomplete annotation and for this reason the E. coli K-12 annotation was used, representing an estimation of differentially expressed genes due to exposure of antimicrobials. The reads mapped per kilobase of gene per million (RPKM) reads was calculated using either the E. coli chromosome or the pAR060302 annotation and was used for global normalization. The per kilobase cDNA length normalized the effect of different length of cDNAs such that the sequence reads have a equal chance to map on the long cDNA regions and the short cDNA regions. After RPKM normalization, each sample is comparable to each other. An R package, DEGseq, was used to identify differentially expressed genes between the control and each antibiotic treatment condition. A cutoff of q-value < 0.05 and a fold change of > 3 were used to measure statistical significance.
2012-03-28 | E-GEOD-36248 | biostudies-arrayexpress
Project description:MicroRNA-offset RNAs (moRs) were first identified in simple chordates and subsequently in mouse and human cells by deep sequencing of short RNAs. MoRs are derived from sequences located immediately adjacent to microRNAs (miRs) in the primary miR (pri-miR). Currently moRs are considered to be simply a by-product of miR biosynthesis that lack biological activity. Here we show for the first time that a moR is biologically active. We now demonstrate that endogenous and over-expressed moR-21 significantly alters gene expression and inhibits the proliferation of vascular smooth muscle cells (VSMC). We report that the "seed region" of moR-21 as well as the "seed match region" in the target gene 3'UTR are indispensable for moR-21-mediated gene down-regulation. We further demonstrated that moR-21-mediated gene repression is Argonaute 2 (Ago2) dependent. In addition, we find that miR-21 and moR-21 may regulate different genes in a given pathway and can oppose each other in regulating certain genes. Taken together, these findings provide the first evidence that microRNA offset RNA regulates gene expression and is biologically active. Small RNAs were harvested from mouse aortic smooth muscle cells (AoSMCs), with three biological replicates, using miReasy kits (Qiagen) according to the manufacturerâ??s instructions. RNA was quantified using a Nanodrop spectrophotometer. Small RNA library construction and illumina HiSeq 75bp single read sequencing were performed at the Yale Center for Genome Analysis. Reads were trimmed to remove adaptor sequences, and inserts longer than 13 bases were mapped to the mouse mm10 genome using Bowtie (with settings â??n 0 -m 5 --best --strata, allowing 0 mismatches and up to 5 genomic loci with a perfect match, {Genome Biol. 2009;10(3):R25, Langmead B, Trapnell C, Pop M, Salzberg SL}). Reads that mapped to within 50 bp of more than one annotated mouse pri-miR (as defined by miRBase {Kozomara A, Griffiths-Jones S. Nucelic Acids Res 2014 42:D68-D73}), were allotted evenly between these locations. Reads that fell entirely within established miRbase 3p or 5p miR coordinates, plus or minus 3 bp, were counted as 3p or 5p miRs, respectively. Reads that fell entirely within the range of 35 bp 3â?? to 3 bp 5â?? of the last base of a 3p miR were counted as 3p moR reads. Those that fell entirely between 3bp 3â?? and 35 bp 5â?? of the first base of a 5p miR were counted as 5p moR reads. On average each library contained 17.4 million qualifying inserts, of which 13.8 million (79.3%) mapped to one of these four regions, indicating that the large majority of inserts represented miR or moR sequences. Reads were divided by the number of million reads mapping to these regions in each library to give normalized reads per million reads (RPMR) values.
2016-06-01 | E-GEOD-75113 | biostudies-arrayexpress
Project description:We report the application of size selection of small RNA species isolated from Jjhan cells harboring the human herpesvirus 6A genome. We ammassed >3.4million reads of sequence from three different sources: Normal Brain cell total RNA, Jjhan total RNA and HHV-6A BAC transfected Jjhan total RNA. Sequences were mapped to the HHV-6A Uganda 1102 strain genome (GenBank: X83413.1) with no less than 100% match for reads >20nt and <23nt. The resulting pool of candidates was mapped to the HHV-6A genome.
2015-01-09 | GSE62233 | GEO
Project description:We report small RNA data from the leaves of wild chickpea PI 489777. Small RNA library was prepared and sequencing was performed using Illumina platform. A total of 23 million reads were generated, which represented 0.95 million unique reads. These were mapped to the chickpea genome using Bowtie to obtain the non-redundant set of unique small RNA sequences.
2018-07-15 | GSE103571 | GEO
Project description:To identity the targets of miRNAs, we bundled 12 samples from different developing satages into four mixture samples. These samples were used to cosntruct degradome libraries and preform degradome sequencing on Illumina Hi-seq 2000 analyzer. More than 44.98 millions clean reads were obtained and 33.52 million reads were mapped to the soybean cDNA. The mapped reads were used to identity miRNA targets by CleaveLand4 pipeline. 4 degradome mixed samples, no replicates, but every degradome data consists of two parts data. Please note that every degradome sample has two processed and two raw data files. To have enough data, additional sequencing was performed from each sample library. And each sample raw data was processed separately (tissue_name*degradome.txt) and also combined (all_degradome*.txt).
2017-05-01 | E-GEOD-72903 | biostudies-arrayexpress
Project description:In this study, we have identified small RNA during salinity stress response in chickpea. Small RNA library was prepared and sequencing was performed using Illumina platform. A total of 79 million reads were generated. These reads were mapped to the chickpea genome using Bowtie.
2023-02-15 | GSE204728 | GEO
Project description:We report the application of size selection of small RNA species isolated from Jjhan cells harboring the human herpesvirus 6A genome. We ammassed >3.4million reads of sequence from three different sources: Normal Brain cell total RNA, Jjhan total RNA and HHV-6A BAC transfected Jjhan total RNA. Sequences were mapped to the HHV-6A Uganda 1102 strain genome (GenBank: X83413.1) with no less than 100% match for reads >20nt and <23nt. The resulting pool of candidates was mapped to the HHV-6A genome. Single pass 36nt sequencing of samples either with or without HHV-6a genomes present.
2015-01-09 | E-GEOD-62233 | biostudies-arrayexpress
Project description:To investigate the impact of histone variants and modification on gene regulation, we report high-throughput profiles of six histone markers, H2A.Z, H3K4me2, H3K9me3, H3K27me3, H3K27ac, and H3K36me3, by ChIP-Seq in T-47D breast cancer cells. Libraries were sequenced with the Illumina HiSeq 2000 analyzer for 50 bp paired-end reads and over 20 million uniquely aligned reads were collected for each histone marker.
2016-04-06 | GSE63109 | GEO