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Zinc is an essential micronutrient required for proper function during neuronal development because it can modulate neuronal function and structure. A fully functional description of zinc in axonal processing in the central nervous system remains elusive. Here, we define the role of intracellular zinc in axon formation and elongation, involving the mammalian target of rapamycin complex 1 (mTORC1). To investigate the involvement of zinc in axon growth, we performed an ex vivo culture of mouse hippocampal neurons and administrated ZnCl

The associated publication reports proteogenomic analysis of human pancreatic ductal adenocarcinoma (PDAC), where we provided significantly mutated genes (SMGs)/biomarkers, cellular pathways, and cell types as potential therapeutic targets to improve stratification of patients with PDAC. This protocol describes the detailed methods for whole exome sequencing (WES) and RNA sequencing analyses of PDAC samples, including tissue processing for proteogenomic analysis, DNA and RNA extraction, experimental procedures for WES and RNA sequencing, and WES and RNA sequencing data analyses.

The associated publication reports proteogenomic analysis of human pancreatic ductal adenocarcinoma (PDAC), where we provided significantly mutated genes (SMGs)/biomarkers, cellular pathways, and cell types as potential therapeutic targets to improve stratification of patients with PDAC. This protocol describes the detailed methods for mass spectrometry-based proteomic analysis of PDAC samples, including sample preparation, liquid chromatography-tandem mass spectrometry (LC-MS/MS) analysis, and data analyses (peptide/protein identification and quantitation).

The associated publication reports proteogenomic analysis of human pancreatic ductal adenocarcinoma (PDAC), where we provided significantly mutated genes (SMGs)/biomarkers, cellular pathways, and cell types as potential therapeutic targets to improve stratification of patients with PDAC. This protocol describes the detailed methods for cell-based assays for potential prognostic biomarkers in PDAC, including cell culture, viral transduction, and cell-based assays.

The associated publication reports proteogenomic analysis of human pancreatic ductal adenocarcinoma (PDAC), where we provided significantly mutated genes (SMGs)/biomarkers, cellular pathways, and cell types as potential therapeutic targets to improve stratification of patients with PDAC. This protocol describes the detailed methods for assays for orthotopic PDAC mouse models, including mouse tumour tissue processing, ultrasound imaging, Masson-trichrome staining, and IHC analysis for immune cell markers.

The associated publication reports proteogenomic analysis of human pancreatic ductal adenocarcinoma (PDAC), where we provided significantly mutated genes (SMGs)/biomarkers, cellular pathways, and cell types as potential therapeutic targets to improve stratification of patients with PDAC. This protocol describes the detailed methods for bioinformatics analysis of PDAC subtypes, including tumour purity estimation, subtype prediction for tumour samples in previous cohorts, pathway enrichment analysis, kinase activity analysis, and pan-omics analysis.

Motivation Proteogenomics has proven its utility by integrating genomics and proteomics. Typical approaches use data from next-generation sequencing to infer proteins expressed. A sample-specific protein sequence database is often adopted to identify novel peptides from matched mass spectrometry-based proteomics; nevertheless, there is no software that can practically identify all possible forms of mutated peptides suggested by various genomic information sources. Results We propose MutCombinator, which enables us to practically identify mutated peptides from tandem mass spectra allowing combinatorial mutations during the database search. It uses an upgraded version of a variant graph, keeping track of frame information. The variant graph is indexed by nine nucleotides for fast access. Using MutCombinator, we could identify more mutated peptides than previous methods, because combinations of point mutations are considered and also because it can be practically applied together with a large mutation database such as COSMIC. Furthermore, MutCombinator supports in-frame search for coding regions and three-frame search for non-coding regions. Availability and implementation https://prix.hanyang.ac.kr/download/mutcombinator.jsp. Supplementary information Supplementary data are available at Bioinformatics online.

Carvacrol is a monoterpenoid phenol produced by aromatic plants such as oregano. Although the exact mechanism by which carvacrol acts has not yet been established, it appears to inhibit transient receptor potential melastatin 7 (TRPM7), which modulates the homeostasis of metal ions such as zinc and calcium. Several studies have demonstrated that carvacrol has protective effects against zinc neurotoxicity after ischemia and epilepsy. However, to date, no studies have investigated the effect of carvacrol on traumatic brain injury (TBI)-induced zinc neurotoxicity. In the present study, we investigated the therapeutic potential of carvacrol for the prevention of zinc-induced neuronal death after TBI. Rats were subjected to a controlled cortical impact, and carvacrol was injected at a dose of 50 mg/kg. Histological analysis was performed at 12 h, 24 h, and 7 days after TBI. We found that carvacrol reduced TBI-induced TRPM7 over-expression and free zinc accumulation. As a result, subsequent oxidative stress, dendritic damage, and neuronal degeneration were decreased. Moreover, carvacrol not only reduced microglial activation and delayed neuronal death but also improved neurological outcomes after TBI. Taken together, these findings suggest that carvacrol administration may have therapeutic potential after TBI by preventing neuronal death through the inhibition of TRPM7 expression and alleviation of zinc neurotoxicity.

We report a proteogenomic analysis of pancreatic ductal adenocarcinoma (PDAC). Mutation-phosphorylation correlations identified signaling pathways associated with somatic mutations in significantly mutated genes. Messenger RNA-protein abundance correlations revealed potential prognostic biomarkers correlated with patient survival. Integrated clustering of mRNA, protein and phosphorylation data identified six PDAC subtypes. Cellular pathways represented by mRNA and protein signatures, defining the subtypes and compositions of cell types in the subtypes, characterized them as classical progenitor (TS1), squamous (TS2-4), immunogenic progenitor (IS1) and exocrine-like (IS2) subtypes. Compared with the mRNA data, protein and phosphorylation data further classified the squamous subtypes into activated stroma-enriched (TS2), invasive (TS3) and invasive-proliferative (TS4) squamous subtypes. Orthotopic mouse PDAC models revealed a higher number of pro-tumorigenic immune cells in TS4, inhibiting T cell proliferation. Our proteogenomic analysis provides significantly mutated genes/biomarkers, cellular pathways and cell types as potential therapeutic targets to improve stratification of patients with PDAC.

Recent sequencing technologies have highlighted translation of untranslated regions (UTRs) in genomes, although it remains unknown whether the translated products persist in a cell. Here, we propose a proteogenomic approach to UTR identification at the proteome level, which has been challenging due to the lack of corresponding sequences required for peptide spectrum matching. We address the challenge with constructing translated UTR (tUTR) database, consisting of all hypothetical sequences that can be translated from UTR by assuming non-AUG initiation at near-cognate start codons and stop codon readthrough. In the analysis of the H1299 cell line mass spectrometry (MS/MS) dataset, the tUTR DB-based proteogenomic approach enabled the detection of 52 5'-UTR and 9 3'-UTR peptides from 45 and 9 genes, respectively. The identified UTR peptides were validated via high spectral similarity with their synthetic peptides. The 5'-UTR peptides pointed out alternative initiation sites with non-AUG start codons, which exactly conformed to Kozak contexts of annotated initiation sites. It is also worth noting that our approach can detect translated amino acid sequences as well as provide evidence for UTR translation, while ribosome profiling provides only the translation evidence. For previously reported stop codon readthrough in MDH1 gene, we could confirm the amino acid inserted during the readthrough. Data are available via ProteomeXchange with identifier PXD016207.

The physical and chemical properties of MXenes are strongly dependent on surface terminations; thus, the tailoring of surface functional groups in two-dimensional transition-metal carbides (MXenes) may extend the applicability of these compelling materials to a wider set of fields. In this work, we demonstrate the chemical modification of Ti

The prognostic and therapeutic relevance of molecular subtypes for the most aggressive isocitrate dehydrogenase 1/2 (IDH) wild-type glioblastoma (GBM) is currently limited due to high molecular heterogeneity of the tumors that impedes patient stratification. Here, we describe a distinct binary classification of IDH wild-type GBM tumors derived from a quantitative proteomic analysis of 39 IDH wild-type GBMs as well as IDH mutant and low-grade glioma controls. Specifically, GBM proteomic cluster 1 (GPC1) tumors exhibit Warburg-like features, neural stem-cell markers, immune checkpoint ligands, and a poor prognostic biomarker, FKBP prolyl isomerase 9 (FKBP9). Meanwhile, GPC2 tumors show elevated oxidative phosphorylation-related proteins, differentiated oligodendrocyte and astrocyte markers, and a favorable prognostic biomarker, phosphoglycerate dehydrogenase (PHGDH). Integrating these proteomic features with the pharmacological profiles of matched patient-derived cells (PDCs) reveals that the mTORC1/2 dual inhibitor AZD2014 is cytotoxic to the poor prognostic PDCs. Our analyses will guide GBM prognosis and precision treatment strategies., The heterogeneity of IDH1/2 wild-type glioblastoma limits its prognosis and therapy. Here, the authors show a binary stratification, based on quantitative proteomic analysis of samples from patients with glioblastoma, with different prognosis and therapeutic vulnerabilities.

Pancreatic ductal adenocarcinoma (PDAC) is a devastating disease with poor prognosis, and the situation has not improved despite extensive clinical and scientific research. Here, we report proteogenomic analysis of PDAC. Mutation-phosphorylation correlations identified signaling pathways associated with somatic mutations in significantly mutated genes. mRNA-protein abundance correlations revealed oncogene and tumor suppressor candidates correlating with patient survival. Integrated clustering of mRNA, protein, and phosphorylation data identified six PDAC subtypes (Sub1-6), which were indistinguishable using mRNA data alone. mRNA and protein signatures defining Sub1-6 revealed that Sub1, Sub2-4, and Sub5-6 were precursor, invasive, and immunogenic tumors, respectively. In the Sub2-4 group, proliferation was highest for Sub4; Sub6 in the Sub5-6 group had an increased pancreatic secretion capacity. Orthotopic mouse PDAC models revealed higher numbers of pro-tumorigenic immune cells in Sub4 tumors, inhibiting T cell proliferation. Our proteogenomic analysis provides therapeutic targets and improves understanding of cancer biology and patient stratification in PDAC.

The construction of manufacturable, stable, high-quality metal/semiconductor junction structures is of fundamental importance to implement higher-level devices and circuit systems. Owing to the unique features of two-dimensional (2D) materials, namely, that intralayer atoms are covalently bonded, whereas interlayer atoms are held together by weak attractive interactions, there are several studies on the fabrication and identification of the peculiar properties of various 2D heterostructures. However, large-scale 2D lateral metal/semiconductor junction structures with acceptable levels of manufacturability and quality have not yet been demonstrated, which is among the critical technological hurdles to overcome for the realization of 2D material-based electronic and photonic devices. This paper reports the fabrication of a manufacturable large-scale metal (Mo

The epitaxial synthesis of molybdenum carbide (Mo

Summary In many proteogenomic applications, mapping peptide sequences onto genome sequences can be very useful, because it allows us to understand origins of the gene products. Existing software tools either take the genomic position of a peptide start site as an input or assume that the peptide sequence exactly matches the coding sequence of a given gene model. In case of novel peptides resulting from genomic variations, especially structural variations such as alternative splicing, these existing tools cannot be directly applied unless users supply information about the variant, either its genomic position or its transcription model. Mapping potentially novel peptides to genome sequences, while allowing certain genomic variations, requires introducing novel gene models when aligning peptide sequences to gene structures. We have developed a new tool called ACTG (Amino aCids To Genome), which maps peptides to genome, assuming all possible single exon skipping, junction variation allowing three edit distances from the original splice sites, exon extension and frame shift. In addition, it can also consider SNVs (single nucleotide variations) during mapping phase if a user provides the VCF (variant call format) file as an input. Availability and Implementation Available at http://prix.hanyang.ac.kr/ACTG/search.jsp. Supplementary information Supplementary data are available at Bioinformatics online.

The epitaxial formation of metallic molybdenum carbide (Mo2C, a 2D MXene material) is achieved via chemical conversion of molybdenum disulfide with thermal annealing under CH4 and H2. A fully converted metallic Mo2C and Mo2C/MoS2 hybrid junctions could be provided with the adjusting of synthesis area of Mo2C the thermal annealing period. Mo2C film shows a metallic property as the outstanding electrode with a low sheet resistance (123.6 Ω/cm2) and carrier concentration of 5.84Х1013 /cm2. Mo2C/MoS2 hybrid junctions display a low contact resistance (1.2 kΩ∙μm) and low Schottky barrier height (26 meV), indicating the material’s potential utility as a critical hybrid structural building block in future device applications. Mo2C grows and forms a Mo2C/MoS2 hybrid structure were simulated by density functional theory calculations to model the mechanisms. The results show that Mo2C conversion is initiated at the MoS2 edge and undergoes sequential hydrodesulfurization and carbide conversion steps, and an atomically sharp interface with MoS2 forms through epitaxial growth of Mo2C. This work provides the area-controllable synthesis of a manufacturable MXene from a transition metal dichalcogenide (TMD) material and the formation of a metal/semiconductor junction structure. The present results will be of critical importance for future 2D heterojunction structures and functional device applications.

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