Multi-Cell Line Analysis of Lysosomal Proteomes Reveals Unique Features and Novel Lysosomal Proteins.

Lysosomes, the main degradative organelles of mammalian cells, play a key role in the regulation of metabolism. It is becoming more and more apparent that they are highly active, diverse, and involved in a large variety of processes. The essential role of lysosomes is exemplified by the detrimental consequences of their malfunction, which can result in lysosomal storage disorders, neurodegenerative diseases, and cancer. Using lysosome enrichment and mass spectrometry, we investigated the lysosomal proteomes of HEK293, HeLa, HuH-7, SH-SY5Y, MEF, and NIH3T3 cells. We provide evidence on a large scale for cell type-specific differences of lysosomes, showing that levels of distinct lysosomal proteins are highly variable within one cell type, while expression of others is highly conserved across several cell lines. Using differentially stable isotope-labeled cells and bimodal distribution analysis, we furthermore identify a high confidence population of lysosomal proteins for each cell line. Multi-cell line correlation of these data reveals potential novel lysosomal proteins, and we confirm lysosomal localization for six candidates. All data are available via ProteomeXchange with identifier PXD020600.

Generation of Antibodies Targeting Cleavable Cross-Linkers.

Chemical cross-linking has become a powerful tool for the analysis of protein structures and interactions by mass spectrometry. A particular strength of this approach is the ability to investigate native states in vivo, investigating intact organelles, cells, or tissues. For such applications, the cleavable cross-linkers disuccinimidyl sulfoxide (DSSO) and disuccinimidyl dibutyric urea (DSBU) are gaining increasing popularity, as they allow for the analysis of complex mixtures. It is inherently difficult to follow the reaction of cross-linkers with proteins in intact biological structures, stalling the optimization of in vivo cross-linking experiments. We generated polyclonal antibodies targeting DSSO- and DSBU-modified proteins, by injection of cross-linked bovine serum albumin (BSA) in rabbits. We show that the cross-linker-modified BSA successfully triggered an immune response, and that DSSO- and DSBU-specific antibodies were generated by the animals. Using affinity-purified antibodies specific for the individual cross-linkers, we demonstrate their application to the detection of cross-linker-modified proteins in Western blot and immunocytochemistry experiments of intact and permeabilized cells. Furthermore, we show their ability to immunoprecipitate DSSO/DSBU-modified proteins and provide evidence for their affinity toward water-quenched dead-links. These antibodies provide a valuable tool for the investigation of proteins modified with the cross-linkers DSSO and DSBU.

A Comprehensive High-Resolution Targeted Workflow for the Deep Profiling of Sphingolipids.

Sphingolipids make up a highly diverse group of biomolecules that not only are membrane components but also are involved in various cellular functions such as signaling and protein sorting. To obtain a quantitative view of the sphingolipidome, sensitive, accurate, and comprehensive methods are needed. Here, we present a targeted reversed-phase liquid chromatography-high-resolution mass spectrometry-based workflow that significantly increases the accuracy of measured sphingolipids by resolving nearly isobaric and isobaric species; this is accomplished by a use of (i) an optimized extraction procedure, (ii) a segmented gradient, and (iii) parallel reaction monitoring of a sphingolipid specific fragmentation pattern. The workflow was benchmarked against an accepted sphingolipid model system, the RAW 264.7 cell line, and 61 sphingolipids were quantified over a dynamic range of 7 orders of magnitude, with detection limits in the low femtomole per milligram of protein level, making this workflow an extremely versatile tool for high-throughput sphingolipidomics.

Comprehensive draft of the mouse embryonic fibroblast lysosomal proteome by mass spectrometry based proteomics.

Lysosomes are the main degradative organelles of cells and involved in a variety of processes including the recycling of macromolecules, storage of compounds, and metabolic signaling. Despite an increasing interest in the proteomic analysis of lysosomes, no systematic study of sample preparation protocols for lysosome enriched fractions has been performed to date. In the current study, we used samples enriched for lysosomes by paramagnetic nanoparticles and systematically evaluated experimental parameters for the analysis of the lysosomal proteome. This includes different approaches for the concentration of lysosome-containing fractions; desalting of samples by solid phase extraction; fractionation of peptide samples; and different gradient lengths for LC-MS/MS analyses of unfractionated samples by data dependent and data independent acquisition. Furthermore, we evaluated four different digestion methods including filter aided sample preparation (FASP), in-gel digestion, and in-solution digestion using either RapiGest or urea. Using the combined data, we generated a benchmark lysosomal proteome data set for mouse embryonic fibroblasts as well as a spectral library for the analysis of lysosomes by data independent acquisition.

Transcriptional coexpression network reveals the involvement of varying stem cell features with different dysregulations in different gastric cancer subtypes.

Despite the advancements in the cancer therapeutics, gastric cancer ranks as the second most common cancers with high global mortality rate. Integrative functional genomic investigation is a powerful approach to understand the major dysregulations and to identify the potential targets toward the development of targeted therapeutics for various cancers. Intestinal and diffuse type gastric tumors remain the major subtypes and the molecular determinants and drivers of these distinct subtypes remain unidentified. In this investigation, by exploring the network of gene coexpression association in gastric tumors, mRNA expressions of 20,318 genes across 200 gastric tumors were categorized into 21 modules. The genes and the hub genes of the modules show gastric cancer subtype specific expression. The expression patterns of the modules were correlated with intestinal and diffuse subtypes as well as with the differentiation status of gastric tumors. Among these, G1 module has been identified as a major driving force of diffuse type gastric tumors with the features of (i) enriched mesenchymal, mesenchymal stem cell like, and mesenchymal derived multiple lineages, (ii) elevated OCT1 mediated transcription, (iii) involvement of Notch activation, and (iv) reduced polycomb mediated epigenetic repression. G13 module has been identified as key factor in intestinal type gastric tumors and found to have the characteristic features of (i) involvement of embryonic stem cell like properties, (ii) Wnt, MYC and E2F mediated transcription programs, and (iii) involvement of polycomb mediated repression. Thus the differential transcription programs, differential epigenetic regulation and varying stem cell features involved in two major subtypes of gastric cancer were delineated by exploring the gene coexpression network. The identified subtype specific dysregulations could be optimally employed in developing subtype specific therapeutic targeting strategies for gastric cancer.