Project description:Evaluation of short-read-only, long-read-only, and hybrid assembly approaches on metagenomic samples demonstrating how they affect gene and protein prediction which is relevant for downstream functional analyses. For a human gut microbiome sample, we use complementary metatranscriptomic, and metaproteomic data to evaluate the metagenomic-based protein predictions.
Project description:Vasculitis is characterized by the inflammation of blood vessels. In patients with giant cell arteritis (GCA) large- to medium-sized vessels are affected. Single-cell RNA sequencing was performed on GCA patients and healthy controls (HC) to study the transcriptome of peripheral blood mononuclear cells of patients and controls.
Project description:The aim of the present study identify putative macromolecular interactions in human peripheral blood based on significant correlations at the transcriptional level. We found that significant transcript correlations within the giant matrix reflect experimentally documented interactions involving select ubiquitous blood relevant transcription factors (CREB1, GATA1, and the glucocorticoid receptor (GR, NR3C1)).
Project description:The aim of the present study identify putative macromolecular interactions in human peripheral blood based on significant correlations at the transcriptional level. We found that significant transcript correlations within a giant matrix including also mRNAs from the same project reflect experimentally documented interactions
2022-03-21 | GSE198933 | GEO
Project description:Study vaginal microbiome of giant pandas by metagenomic sequencing.
Project description:We characterized the mouse trophoblast giant cell epigenome and gene expression profiles. We then compared these data to our data on underrepresentation in the polyploid trophoblast giant cells. We profiled 5 histone modifications (+ chromatin input) using ChIP-Seq, and digital expression profiles (3' RNA-Seq) for trophoblast giant cells derived from mouse. Furthermore, we profiled digital expression profiles (3' RNA-Seq) for in vivo trophoblast giant cells samples from e9.5 wildtype mouse trophoblast giant cells. We found that underrepresented domains in trophoblast giant cells are enriched for repressive marks and anti-correlate with active marks and transcription.
