Project description:Lipids play an important role in energy storage, membrane structure stabilization and signaling. Parasitoids are excellent models to study lipidomics because a majority of them do not accumulate during their free-living life-stage. Studies on parasitoids have mostly focused on the changes in the lipids and gene transcripts in hosts and little attention has been devoted to lipidomics and transcriptomics changes in parasitoids. In this study, a relative quantitative analysis of lipids and their gene transcripts in 3-days-old Lysiphlebia japonica larva (3 days after spawning) and pupae were performed using liquid chromatography, mass spectrometry and RNA-seq. Thirty-three glycerolipids and 250 glycerophospholipids were identified in this study; all triglycerides and the vast majority of phospholipids accumulated in the pupal stage. This was accompanied by differentially regulated lipid uptake and remolding. Furthermore, our data showed that gene transcription was up-regulated in key nutrient metabolic pathways involved in lipid synthesis in 3-days-old larvae. Finally, our data suggests that larva and pupa of L. japonica may lack the ability for fatty acids synthesis. A comprehensive, quantitative, and expandable resource was provided for further studies of metabolic regulation and molecular mechanisms underlying parasitic response to hosts defense.
Project description:A Comparative Study of Human Testes and Epididymis through the Proteomics and RNA-seq Methods
<ul><li>Dataset imported into MassIVE from <a href="https://www.iprox.cn/page/project.html?id=IPX0003098000">https://www.iprox.cn/page/project.html?id=IPX0003098000</a> on 12/10/21</li></ul>
Project description:Single cell RNA-seq was performed on healthy mouse skin fibroblasts. This data along with single cell transcriptomics datasets of fibroblasts from other healthy tissues was used to construct a steady state mouse fibroblast atlas.
Project description:This model was reconstructed from single-nucleus RNA-seq (snRNA-seq) data of human postmortem brain and curated using published metabolomics data from human iPSC-derived neurons and cerebrospinal fluid (CSF), together with gene expression data from the Human Protein Atlas. It more accurately simulates human neuronal metabolic flux in neurodegenerative conditions such as Alzheimer's disease (AD).
Project description:We performed 10x Genomics single-cell RNA sequencing (scRNA-seq) on 12 urine samples from kidney transplant recipients. These urine samples contain a mixture of donor-derived kidney cells and recipient-derived immune and bladder cells. To our knowledge, this is the first study to apply single-cell transcriptomics to urine samples from kidney allograft recipients.
Project description:The rat sub-total nephrectomy (SNx) is a functional model of chronic kidney disease (CKD), where the main pathological driver is glomerular hypertension. Comprehensive transcriptomics and proteomics analyses on the rat SNx model were performed to identify biomarkers in plasma or urine that correlate with kidney disease and functional kidney loss. SWATH proteomics and bulk RNA-sequencing transcriptomics (RNA-seq), with SWATH also performed on plasma and urine. Differential expression analysis demonstrated significant dysregulation of genes and proteins involved in fibrosis, metabolism, and immune response in the SNx rats compared to controls. Gene ontology analysis of the intersecting genes and proteins from both studies demonstrated common biology between animal cohorts that reached the predefined kidney disease thresholds (serum creatinine >2-fold or proteinuria >3-fold increase over sham-operated). About a dozen significantly differential molecules were detected with consistent directional changes in both transcriptomics and proteomics datasets. These molecules were detected independently in kidney (both RNA and protein) and urine (protein only), but not in plasma. The bioinformatics analysis enabled the identification of mechanistic CKD biomarkers whose co-expression have previously been both implicated in fibrosis and detected in urine in CKD patients.