Project description:Spotted 10uM of phenylacetylglutamine on a metal surface and used wooden cotton swabs to wipe the area after 45min. Extracted the recovery in Eppendorfs through centrifugation. Dried and resuspended the samples in 50% methanol spiked with sulphadimethoxine for LC-MS analysis. Spotted samples were wiped for 1min vs 5sec, once vs twice, and the cotton swab rinsed in some cases. Data file names in the master sequence and Skyline report are labeled as "car-XX.raw", but in all cases the standard is actually phenylacetylglutamine.
Project description:Diffuse gliomas (DGs) are the most common and lethal primary neoplasms in the central nervous system. The latest 2021 WHO Classification of Tumors of the Central Nervous System (CNS) was published in 2021, immensely changing the approach to diagnosis and decision making. As a part of the Chinese Glioma Genome Atlas (CGGA) project, our aim was to provide genomic profiling of gliomas in a Chinese cohort. Two hundred eighty six gliomas with different grades were collected over the last decade. Using the Illumina HiSeq platform, over 75.8 million high-quality 150 bp paired-end reads were generated per sample, yielding a total of 43.4 billion reads. We also collected each patient’s clinical and pathological information and used it to annotate their genetic data. This dataset provides an important reference for researchers and will significantly advance our understanding of gliomas.
Project description:Human serum samples from Johns Hopkins University. LCMS run on 05-09-2023. Polar C18 column in negative mode. This project is about the chagas disease progression. Four groups in this dataset: infected-progressed, infected-non-progressed, uninfected-progressed, uninfected-non-progressed. We want to compare the progressed and non-progressed in infected groups to see the changes of metabolites related to the disease progression.
Project description:Human serum samples from Johns Hopkins University. LCMS run on 05-09-2023. Polar C18 column in positive mode. This project is about the chagas disease progression. Four groups in this dataset: infected-progressed, infected-non-progressed, uninfected-progressed, uninfected-non-progressed. We want to compare the progressed and non-progressed in infected groups to see the changes of metabolites related to the disease progression.