Project description:To unravel distinct pattern of metagenomic surveillance and respiratory microbiota between Mycoplasma pneumoniae (M. pneumoniae) P1-1 and P1-2 and explore the impact of COVID-19 pandemic on epidemiological features
Project description:To find regulated miRNAs during peak inflammation of rheumatoid arthritis (RA), we have collected synovium from mouse STA model at day 0 (Non Arthritic) and day 10 (Peak Inflammation). For miRNA profiling, we used high-throughput BioMark Real-Time PCR system (Fluidigm, South San Francisco, CA)
Project description:We applied DNA content based flow cytometry methods to interrogate the genomes of clinical samples from 8 patients with ovarian cancer. These included 6 high grade serous ovarian carcinomas, a low grade serous carcinoma, and an endometriod carcinoma. Archived samples obtained from surgical resections from a University of California San Francisco (UCSF) tissue bank. Notably for this study we distinguished and sorted diploid and aneuploid tumors. We then profiled the the whole genome copy number for each sample. These data were used to provide standards for single cell analyses of the same tissues including FFPE samples.
Project description:Please Note, if a password is required, please try "a", the generic password for Massive.
These data are in support of the manuscript:
Post-translational Modifications of Endogenous Tau in Wildtype and Human Amyloid Precursor Protein Transgenic Mice
Meaghan Morris*a,b, Giselle M. Knudsen*c, Sumihiro Maedaa,d, Jonathan C. Trinidadc, Alexandra Ianoviciuc, Alma L. Burlingamec, Lennart Muckea,d
aGladstone Institute of Neurological Disease, San Francisco, California 94158, USA
bBiochemistry, Cellular and Molecular Biology Graduate Program, Department of Biological Chemistry, The Johns Hopkins University School of Medicine, Baltimore, MD 21205, USA
cMass Spectrometry Facility, Department of Pharmaceutical Chemistry, University of California, San Francisco, California 94158, USA
dDepartment of Neurology, University of California, San Francisco, California 94158, USA
*These authors contributed equally to this work
Project description:Sub-Saharan Africa represents 69% of the total number of individuals living with HIV infection worldwide and 72% of AIDS deaths globally. Pulmonary infection is a common and frequently fatal complication, though little is known regarding the lower airway microbiome composition of this population. Our objectives were to characterize the lower airway microbiome of Ugandan HIV-infected patients with pneumonia, to determine relationships with demographic, clinical, immunological, and microbiological variables and to compare the composition and predicted metagenome of these communities to a comparable cohort of patients in the US (San Francisco). Bronchoalveolar lavage samples from a cohort of 60 Ugandan HIV-infected patients with acute pneumonia were collected. Amplified 16S ribosomal RNA was profiled and aforementioned relationships examined. Ugandan airway microbiome composition and predicted metagenomic function were compared to US HIV-infected pneumonia patients. Among the most common bacterial pulmonary pathogens, Pseudomonas aeruginosa was most prevalent in the Ugandan cohort. Patients with a richer and more diverse airway microbiome exhibited lower bacterial burden, enrichment of members of the Lachnospiraceae and sulfur-reducing bacteria and reduced expression of TNF-alpha and matrix metalloproteinase-9. Compared to San Franciscan patients, Ugandan airway microbiome were significantly richer, and compositionally distinct with predicted metagenomes that encoded a multitude of distinct pathogenic pathways e.g secretion systems. Ugandan pneumonia-associated airway microbiome is compositionally and functionally distinct from those detected in comparable patients in developed countries, a feature which may contribute to adverse outcomes in this population. Please note that the data from the comparable cohort of patients in the USUS data was published as supplemental material of PMID: 22760045 but not submitted to GEO The 'patient_info.txt' contains 12 clinical, 7 immunological and 3 microbiological variables for each patient.
Project description:Sub-Saharan Africa represents 69% of the total number of individuals living with HIV infection worldwide and 72% of AIDS deaths globally. Pulmonary infection is a common and frequently fatal complication, though little is known regarding the lower airway microbiome composition of this population. Our objectives were to characterize the lower airway microbiome of Ugandan HIV-infected patients with pneumonia, to determine relationships with demographic, clinical, immunological, and microbiological variables and to compare the composition and predicted metagenome of these communities to a comparable cohort of patients in the US (San Francisco). Bronchoalveolar lavage samples from a cohort of 60 Ugandan HIV-infected patients with acute pneumonia were collected. Amplified 16S ribosomal RNA was profiled and aforementioned relationships examined. Ugandan airway microbiome composition and predicted metagenomic function were compared to US HIV-infected pneumonia patients. Among the most common bacterial pulmonary pathogens, Pseudomonas aeruginosa was most prevalent in the Ugandan cohort. Patients with a richer and more diverse airway microbiome exhibited lower bacterial burden, enrichment of members of the Lachnospiraceae and sulfur-reducing bacteria and reduced expression of TNF-alpha and matrix metalloproteinase-9. Compared to San Franciscan patients, Ugandan airway microbiome were significantly richer, and compositionally distinct with predicted metagenomes that encoded a multitude of distinct pathogenic pathways e.g secretion systems. Ugandan pneumonia-associated airway microbiome is compositionally and functionally distinct from those detected in comparable patients in developed countries, a feature which may contribute to adverse outcomes in this population. Please note that the data from the comparable cohort of patients in the USUS data was published as supplemental material of PMID: 22760045 but not submitted to GEO The 'patient_info.txt' contains 12 clinical, 7 immunological and 3 microbiological variables for each patient. The G2 PhyloChip microarray platform (commercially available from Second Genome, Inc.) was used to profile bacteria in lower airway samples from 60 subjects
Project description:Endovascular biopsy and fluorescence activated cell sorting was used to enrich for viable endothelial cells (ECs) from a vertebrobasilar aneurysm and the femoral artery. scRNAseq was then performed on 24 aneurysmal endothelial cells and 23 patient-matched non-aneurysmal femoral artery endothelial cells. cDNA libraries were prepared using the Smart-seq2 protocol on a Fluidigm C1 system (Fluidigm, South San Francisco, California) and sequenced on a HiSeq2500 machine (Illumina, San Diego, California).