Ontology highlight
ABSTRACT:
PROVIDER: PRJNA655635 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Acidocella sp. MX-AZ03 Genome sequencing
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Project description:Acidocella sp. KAb 2-4 Genome sequencing and assembly
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Project description:Primary objectives: The primary objective is to investigate circulating tumor DNA (ctDNA) via deep sequencing for mutation detection and by whole genome sequencing for copy number analyses before start (baseline) with regorafenib and at defined time points during administration of regorafenib for treatment efficacy in colorectal cancer patients in terms of overall survival (OS).
Primary endpoints: circulating tumor DNA (ctDNA) via deep sequencing for mutation detection and by whole genome sequencing for copy number analyses before start (baseline) with regorafenib and at defined time points during administration of regorafenib for treatment efficacy in colorectal cancer patients in terms of overall survival (OS).
| 2533916 | ecrin-mdr-crc
Project description:Commensalibacter sp. MX01 strain:MX-MONARCH01 Genome sequencing and assembly
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Project description:Pelagic aggregates function as hotspots for microbial activity and biological carbon pumps for exporting OM fixed by photoautotrophs to sediments in lakes and oceans. In iron-rich (ferruginous) lakes, photoferrotrophic or chemolithoautotrophic bacteria appear to contribute to CO2 fixation by oxidizing reduced iron which leads to the formation of iron-rich pelagic aggregates called iron-snow. In acidic lakes, iron snow is colonized mainly by acidophilic iron-cycling microbes that can trigger interspecies aggregation mechanisms. However, the significance of iron oxidizers in carbon fixation, their general role in iron snow functioning, and the flow of carbon within iron snow is still unclear. Here, we combined a two-year metatranscriptome analysis with a 13CO2 metabolic labeling approach to determine general metabolic activities. Protein-based stable isotope probing (protein-SIP) was used to trace the 13CO2 incorporation in iron snow microcosms over time under both oxic and anoxic conditions. Analysis of our mRNA-derived metatranscriptome data identified four key players (Leptospirillum, Ferrovum, Acidithrix, Acidiphilium) with relative abundances (59.6%-85.7%) in iron snow encoding a variety of ecologically relevant pathways, including carbon fixation, polysaccharide biosynthesis, and flagellar-based motility. We did not detect transcriptional activity for carbon fixation from archaea or eukaryotes. The largest numbers of expressed genes (3008, 2991, 2936) matched to the genomes of our previously obtained iron snow isolates (Acidithrix sp. C25, Acidiphilium sp. C61, Acidocella sp. C78) separately. 13CO2 incorporation studies identified Leptospirillum and Ferrovum, as the main active chemolithoautotrophs under oxic conditions, and Ferrovum was the main active organism under anoxic conditions as well. Small amounts of labeled 13C (Relative isotope abundance: 1.0%-5.3%) were found in the heterotrophic Acidiphilium and Acidocella. Overall, our data show that iron oxidizers play an important role in the formation of iron minerals and CO2 fixation, but the majority of fixed C apparently did not reach other iron snow microbes. This finding suggests that most of the fixed C will be directly exported to the sediment without feeding heterotrophs in the water column in acidic ferruginous lakes.
2022-02-17 | PXD025534 | Pride
Project description:Acidocella aromatica DSM 27026 genome sequencing
| PRJNA632134 | ENA
Project description:modENCODE_submission_4981 This submission comes from a modENCODE project of Kevin White. For full list of modENCODE projects, see http://www.genome.gov/26524648 Project Goal: The White Lab is aiming to map the association of all the Transcription Factors (TF) on the genome of Drosophila melanogaster. One technique that we use for this purpose is chromatin immunoprecipitation coupled with deep sequencing (ChIP-seq) utilizing an Illumina next generation sequencing platform. The data generated by ChIP-seq experiments consist basically of a plot of signal intensity across the genome. The highest signals correspond to positions in the genome occupied by the tested TF. For data usage terms and conditions, please refer to http://www.genome.gov/27528022 and http://www.genome.gov/Pages/Research/ENCODE/ENCODEDataReleasePolicyFinal2008.pdf EXPERIMENT TYPE: CHIP-seq. BIOLOGICAL SOURCE: Strain: Y cn bw sp; Developmental Stage: White Prepupae (WPP); Genotype: y[1] oc[R3.2]; Gr22b[1] Gr22d[1] cn[1] CG33964[R4.2] bw[1] sp[1]; LysC[1] lab[R4.2] MstProx[1] GstD5[1] Rh6[1]; EXPERIMENTAL FACTORS: Developmental Stage White Prepupae (WPP); Strain Y cn bw sp; Antibody KW0:GRO (target is GROUCHO)
2013-08-11 | E-GEOD-49770 | biostudies-arrayexpress