Project description:We investigated the combined sensitivity of micro-flow liquid chromatography with a ZenoTOF mass spectrometer for high throughput proteomic and phosphoproteomic analysis of rat tissues. Comparing the proteomes acquired using data-independent acquisition (DIA) on the ZenoTOF 7600 with the previous generation TripleTOF 6600, more proteins were quantified using a fifth of the sample load and a third of the instrument time. Zeno SWATH data was evaluated using replicate injections of rat organ digests to compare FragPipe and DIA-NN computational pipelines. FragPipe identified more proteins in 7 of the 8 rat organs, with an extra 12% and 17% observed in heart and muscle tissue respectively. The number of identified peptides per protein were higher with FragPipe and the precision of missing values across replicate injections was more consistent. Single-shot phosphopeptide enrichment from 100 µg rat tissue, without fractionation, was acquired using data-dependent acquisition (DDA) on both instruments. A total of 5,108 phosphosites were quantified with a negligible increase in phosphosites found using the ZenoTOF 7600 relative to the 6600. Using DIA on the ZenoTOF, 8,013 phosphosites were quantified using Spectronaut.
Project description:In this work, we tested feasibility of high content screening of acutely isolated RGCs to generate systems biology knowledge of intrinsic cellular pathways associated with the onset of glaucomatous RGC loss in the retina. We performed differential profiling of these neurons using two complementary techniques: proteomics and microarray-based transcriptomics. The analysis of these RGC-specific proteomic and transcriptomic data using pathway informatics databases and biological network tools have revealed complex metabolic and regulatory changes in the COH-challenged neurons. We used the iTRAQ reagents that allow for the identification and quantitation of up to four different samples simultaneously, to assess the COH-induced changes in protein content of adult rat RGCs. Similar principle is utilized in the two-color Agilent arrays that we used for our transcriptomic analysis of the same RGC samples.
Project description:We present a spatial omics approach that merges and expands the capabilities of independently performedin situassays on a single tissue section. Our spatial multimodal analysis combines histology, mass spectrometry imaging, and spatial transcriptomics to facilitate precise measurements of mRNA transcripts and low-molecular weight metabolites across tissue regions. We demonstrate the potential of our method using murine and human brain samples in the context of dopamine and Parkinson’s disease.
Project description:The goal of this project was to develop a method to fully characterize the proteome of native and decellularized rat lungs. In short, we show that chemical digestion is necessary yield the full complement of the insoluble proteins that make up decellularized scaffolds, a step that is generally ignored in the literature, but necessary to attain a representative readout of the tissue proteome
Project description:Background: Stroke is a leading health issue, with high morbidity and mortality rates worldwide. Of all strokes, approximately 80% of cases are ischemic stroke (IS). However, the underlying mechanisms of the occurrence of acute IS remain poorly understood because of heterogeneous and multiple factors. More potential biomarkers are urgently needed to reveal the deeper pathogenesis of IS. Methods: We identified potential biomarkers in rat brain tissues of IS using an iTRAQ labeling approach coupled with LC-MS/MS. Furthermore, bioinformatrics analyses including GO, KEGG, DAVID, and Cytoscape were used to present proteomic profiles and to explore the disease mechanisms. Additionally, Western blotting for target proteins was conducted for further verification. Results: We identified 4,578 proteins using the iTRAQ-based proteomics method. Of these proteins, 282 differentiated proteins, comprising 73 upregulated and 209 downregulated proteins, were observed. Further bioinformatics analysis suggested that the candidate proteins were mainly involved in energy liberation, intracellular protein transport, and synaptic plasticity regulation during the acute period. KEGG pathway enrichment analysis indicated a series of representative pathological pathways, including energy metabolite, long-term potentiation (LTP), and neurodegenerative disease-related pathways. Moreover, Western blotting confirmed the associated candidate proteins, which refer to oxidative responses and synaptic plasticity. Conclusions: Our findings highlight the identification of candidate protein biomarkers and provide insight into the biological processes involved in acute IS.
Project description:Investigation on the transcriptome and intercellular communication of different cells of trigeminal nerve in trigeminal neuralgia rat by spatial transcriptome sequencing