Project description:Comparing the efficacy of MALDI-TOF MS and sequencing identification techniques to monitor the microbial community of irrigation water
Project description:Regarding the mass spectrometry data submission requirement, we need to clarify that our MALDI-TOF-MS data were generated using a Bruker MALDI Biotyper system, which is specifically designed for clinical microbial identification. The system generates proprietary format files(.fid) rather than conventional proteomics raw data formats (.RAW). We can provide compressed packages of all source files.
Project description:Soluble proteins of Shingobium sp. strain Chol11 adapted to growth with cholate were compared to cells adapted to growth with glucose by means of 2D DIGE coupled to MALDI-TOF MS protein identification
Project description:With the aim of reveal the mechanism of Podophyllum Hexandrum Royle adaption to high altitude, MALDI-TOF-MS/MS in combination with 2-DE was used to identify the differentially expressed proteins in leaves of Podophyllum Hexandrum Royle between low altitude (2200m) and high altitude (3100m), 65 differentially expressed proteins was identifed and 44 was up-regulated in high altitude compared tolow altitude.
Project description:Matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) has exhibited advantages in rapid analysis of metabolites. This data set provides support to the discuss of influence of interferential species, matrix effect and instrument parameters on metabolite qualification and quantification.
Project description:Highly specialized cells are fundamental for proper functioning of complex organs. Variations in cell-type specific gene expression and protein composition have been linked to a variety of diseases. Although single cell technologies have emerged as valuable tools to address this cellular heterogeneity, a majority of these workflows lack sufficient in situ resolution for functional classification of cells and are associated with extremely long analysis time, especially when it comes to in situ proteomics. In addition, lack of understanding of single cell dynamics within their native environment limits our ability to explore the altered physiology in disease development. This limitation is particularly relevant in the mammalian brain, where different cell types perform unique functions and exhibit varying sensitivities to insults. The hippocampus, a brain region crucial for learning and memory, is of particular interest due to its obvious involvement in various neurological disorders. Here, we present a combination of experimental and data integration approaches for investigation of cellular heterogeneity and functional disposition within the mouse brain hippocampus using MALDI Imaging mass spectrometry (MALDI-IMS) and shotgun proteomics (LC-MS/MS) coupled with laser-capture microdissection (LCM) along with spatial transcriptomics. Within the dentate gyrus granule cells we identified two proteomically distinct cellular subpopulations that are characterized by a substantial number of discriminative proteins. These cellular clusters contribute to the overall functionality of the dentate gyrus by regulating redox homeostasis, mitochondrial organization, RNA processing, and microtubule organization. Importantly, most of the identified proteins matched their transcripts, verifying the in situ protein identification and supporting their functional analyses. By combining high-throughput spatial proteomics with transcriptomics, our approach enables reliable near-single-cell scale identification of proteins and profiling of inter-cellular heterogeneity within similar cell-types in tissues. This methodology has the potential to be applied to different biological conditions and tissues, providing a deeper understanding of cellular subpopulations in situ.