Project description:The dataset represents the proteome analysis of six sampling dates during the phytoplankton bloom at the island of Helgoland in the North Sea at the long term research station ‘Kabeltonne’ (54° 11' 17.88'' N, 7° 54' 0'' E) in 2016.
Project description:This DATASET collection includes the mass spectrometry files for proteomics venom investigation of island and mainland V. ammodytes populations from North Macedonia.
Sample list:
1. Island - adult - male
2. Island - adult - female
3. Island - juvenile
4. Island - subadult
5. Mainland - adult
6. Mainland - subadult
7. Mainland - juvenile
Folders 01-07 - BOTTOM-UP PROTEOMICS: The venom pools were investigated by the bottom-up "snake venomics" (labelled as SVX) approach and in short: separated by RP-HPLC, followed by SDS-PAGE separation and the single bands were in-gel processed by DTT, IAC and finally o/n tryptic digested. Samples submitted to HPLC-MS/MS. Early peptidic fractions of the first HPLC run were directly submitted to HPLC-MS/MS analytic w/o further gel procession. Folders 01 to 07 include the MS and MS/MS spectra of the V. ammodytes sample pools from different populations. Files are included as RAW and MZML format.
Used instrument: LTQ Orbitrap XL mass spectrometer (Thermo, Bremen, Germany) with an Agilent 1260 HPLC system (Agilent Technologies, Waldbronn, Germany) using a reversed-phase Grace Vydac 218MS C18 (2.1 x 150 mm; 5 um particle size) column.
Modifications: UNIMOD:4 - \"Iodoacetamide derivative.\"
Used protein database: Uniprot_8750_serpentes_CanNIso_2674_entries_220210_cRAP_220210.fasta
Project description:To study the population genetics context of the Saqqaq individual we carried out Illumina Bead-Array-based genotyping on four native North American and twelve north Asian populations.
Project description:Array CGH analysis of Helicobacter pylori strains isolated from a North American cohort of symptomatic pediatric patients. Keywords: genotyping_design
2009-11-05 | GSE13317 | GEO
Project description:Genotyping-by-sequencing of North Island Brown Kiwi (Apteryx mantelli)
Project description:Lifespan Cancer Institute serves over 50% of cancer patients in the state. Rhode Island is known for strong medical care and high rates of cancer screening with mammography and colonoscopy. However, cancer screening has plummeted during the COVID-19 pandemic, in part to closing physician offices and stopping non-urgent medical procedures. In addition, anecdotal reports suggest the public remains concerned about returning to physician’s offices and risking possible exposure to COVID-19. As in the United States as a whole, COVID-19 has disproportionately impacted ethnic and minority individuals within underserved communities; and in Rhode Island, African Americans, Hispanics and undocumented individuals living in communities such as Central Falls, Pawtucket, Providence, East Providence and North Providence have had the highest rate of COVID-19. These communities are also impacted by healthcare disparities to access and affordability of healthcare, and as such, may be among the least likely to resume cancer screening.
The Lifespan Cancer Institute will institute a project to address health disparities in cancer screening during the pandemic through the use of a targeted campaign involving social media. The goals will be to re-establish screening in the era of COVID-19 and ensure timeliness of care for those found to be at risk, or are positive for, cancer.
Project description:Tissue-specific methylation patterns suggest a role for CpG island methylation in differentiation and cell-type-specific gene regulation. We have profiled CpG island methylation in different cells of the immune cell lineage to investigate this role. MBD-affinity purification combined with next generation sequencing was used to analyse CpG island methylation in dendritic cells, B cells, Th1, Th2 and naïve T cells. ChIP-seq was carried out to determine RNA polymerase II binding sites in these cell types and this was compared to the methylation profiles obtained. This data is part of a pre-publication release. For information on the proper use of pre-publication data shared by the Wellcome Trust Sanger Institute (including details of any publication moratoria), please see http://www.sanger.ac.uk/datasharing/ Abstract: We have profiled CpG island methylation in various immune system cell types and related this to gene expression in these cells.
Project description:Marine snow plays a central role in carbon cycling. It consists of organic particles and particle-associated (PA) microbMarine snow plays a central role in carbon cycling. It consists of organic particles and particle-associated (PA) microbial communities that are embedded in a sugary matrix. Metaproteomic analysis offers the unique opportunity to gain unprecedented insight into the microbial community composition and biomolecular activity of environmental samples. In order to realize this potential for marine PA microbial communities, new methods of protein extraction must be developed. In this study, we used 1D-SDS-PAGEs and LC-MS/MS to compare the efficiency of six established protein extraction protocols for their applicability of metaproteomic analyses of the PA microbial community in the North Sea. A combination of SDS-buffer extraction and bead beating resulted in the greatest number of identified protein groups. As expected, a metagenomic database of the same environmental sample increased the number of protein identification by approximately 50%. To demonstrate the application of our established protocol, particulate bacterioplankton samples collected during spring phytoplankton bloom in 2009 near the island Helgoland, were analysed by a GeLC-MS/MS-based metaproteomic approach. Our results indicated that there are only slight differences in the taxonomical distribution between free-living (FL) and PA bacteria but that the abundance of protein groups involved in polysaccharide degradation, motility and particle specific stress (oxygen limitation, nutrient limitation, heavy metal stress) is higher in the PA fractions. ial communities that are embedded in a sugary matrix. Metaproteomic analysis offers the unique opportunity to gain unprecedented insight into the microbial community composition and biomolecular activity of environmental samples. In order to realize this potential for marine PA microbial communities, new methods of protein extraction must be developed. In this study, we used 1D-SDS-PAGEs and LC-MS/MS to compare the efficiency of six established protein extraction protocols for the their applicability of metaproteomic analyses of the PA microbial community in the North Sea. A combination of SDS-buffer extraction and bead beating resulted in the greatest number of identified protein groups. As expected, a metagenomic database of the same environmental sample increased the number of protein identification by approximately 50%. To demonstrate the application of our established protocol, particulate bacterioplankton samples collected during spring phytoplankton bloom in 2009 near the island Helgoland, were analysed by a GeLC-MS/MS-based metaproteomic approach. Our results indicated that there are only slight differences in the taxonomical distribution between free-living (FL) and PA bacteria but that the abundance of protein groups involved in polysaccharide degradation, motility and particle specific stress (oxygen limitation, nutrient limitation, heavy metal stress) is higher in the PA fractions.
Project description:How and when the Americas were populated remains contentious. Using ancient and modern genome-wide data, we find that the ancestors of all present-day Native Americans, including Athabascans and Amerindians, entered the Americas as a single migration wave from Siberia no earlier than 23 thousand years ago (KYA), and after no more than 8,000-year isolation period in Beringia. Native Americans diversified into two basal genetic branches around 13 KYA, one in North and South America and the other restricted to North America. Subsequent gene flow resulted in some Native Americans sharing ancestry with present-day East Asians and Australo-Melanesians, the latter possibly through the ancestors of Aleutian Islanders. Putative relict populations in South America, including the historical Pericúes and Fuego-Patagonians, are not directly related to modern Australo-Melanesians.