Project description:Metatranscriptomic analysis identifies a state of pathogen dominance and suppressed pulmonary immune signaling in critically ill COVID-19 patients with secondary bacterial pneumonia.
Project description:Purpose: Identification of transcriptionally active genes in the unculturable community constituent, Smithella, during hexadecane degradation; Differential gene expression analysis of hexadecane-relevant genes acoss three different conditions; Extension of metatranscriptomic datasets to other community constituents to identify interspecies relationships.
2013-10-29 | GSE49830 | GEO
Project description:Metatranscriptomic analysis of doenjang-meju
| PRJNA1103864 | ENA
Project description:Metatranscriptomic analysis of anaerobic digestion
| PRJNA407660 | ENA
Project description:Metatranscriptomic analysis of coastal sediments.
Project description:For analyzing the exploratory nasal commensal viruses, we performed the metatranscriptomic analysis of the nose swabs from the enrolled AR patients both before and after treatments, as well as sequenced the nose swabs from a set of healthy volunteers without AR history.Simultaneously, to assess the expression of interferon-stimulated genes in patients with allergic rhinitis, we analyzed the gene expression of host reads.
Project description:Purpose: Identification of transcriptionally active genes in the unculturable community constituent, Smithella, during hexadecane degradation; Differential gene expression analysis of hexadecane-relevant genes acoss three different conditions; Extension of metatranscriptomic datasets to other community constituents to identify interspecies relationships. mRNA profiles were generated for this community across three different conditions (hexadecane-, butyric acid-, caprylic acid-degrading conditions) using a modified version of Nextera and sequenced using Illumina's Miseq platform.
Project description:Metatranscriptomic and metaproteomic analysis of C.quadricolor symbiotic bacteria for discovery of new potential biosynthetic clusters