scholarly journals Is It Possible to Find Needles in a Haystack? Meta-Analysis of 1000+ MS/MS Files Provided by the Russian Proteomic Consortium for Mining Missing Proteins

Proteomes ◽  
2020 ◽  
Vol 8 (2) ◽  
pp. 12 ◽  
Author(s):  
Ekaterina Poverennaya ◽  
Olga Kiseleva ◽  
Ekaterina Ilgisonis ◽  
Svetlana Novikova ◽  
Arthur Kopylov ◽  
...  

Despite direct or indirect efforts of the proteomic community, the fraction of blind spots on the protein map is still significant. Almost 11% of human genes encode missing proteins; the existence of which proteins is still in doubt. Apparently, proteomics has reached a stage when more attention and curiosity need to be exerted in the identification of every novel protein in order to expand the unusual types of biomaterials and/or conditions. It seems that we have exhausted the current conventional approaches to the discovery of missing proteins and may need to investigate alternatives. Here, we present an approach to deciphering missing proteins based on the use of non-standard methodological solutions and encompassing diverse MS/MS data, obtained for rare types of biological samples by members of the Russian Proteomic community in the last five years. These data were re-analyzed in a uniform manner by three search engines, which are part of the SearchGUI package. The study resulted in the identification of two missing and five uncertain proteins detected with two peptides. Moreover, 149 proteins were detected with a single proteotypic peptide. Finally, we analyzed the gene expression levels to suggest feasible targets for further validation of missing and uncertain protein observations, which will fully meet the requirements of the international consortium. The MS data are available on the ProteomeXchange platform (PXD014300).

2021 ◽  
Vol 10 ◽  
pp. e2250
Author(s):  
Davoud Roostaei ◽  
Mojtaba Sohrabpour ◽  
Mohammad Sadegh Sanie Jahromi ◽  
Majid Vatankhah ◽  
Aghdas Shadmehr ◽  
...  

Background: COVID-19 induced cardiac events are reported by a large number of papers; while psychophysiology of association of the COVID-19 and cardiac attacks are not fully understood yet. Materials and Methods: Here we compared gene expression levels of heart autopsies of SARS-Cov-2 infected patients with the cardiac organoid model of human myocardial infarction and control healthy cardiac organoids to identify differentially expressed genes (DEGs). Gene Ontology (GO) biological processes were enriched in DEGs. Results: Results showed that smell perception genes were down-regulated in SARS-COV2 in comparison to myocardial infarction samples; while showing upregulated genes related to the immune system process in comparison to control healthy heart organoids. Our results are in agreement with theories of immune system reactions in COVID-19 infected patients’ hearts; while our analysis indicates different patterns of heart genes expression from myocardial infarction models. Conclusion: our study suggests that there may be different pathways involved in MI appearance in COVID-19 patients rather than classic known atherosclerotic and inflammatory pathways.


F1000Research ◽  
2016 ◽  
Vol 5 ◽  
pp. 109 ◽  
Author(s):  
Marjolein J. Peters ◽  
Yolande F.M. Ramos ◽  
Wouter den Hollander ◽  
Dieuwke Schiphof ◽  
Albert Hofman ◽  
...  

Objective: To identify molecular biomarkers for early knee osteoarthritis (OA), we examined whether joint effusion in the knee associated with different gene expression levels in the circulation.Materials and Methods: Joint effusion grades measured with magnetic resonance (MR) imaging and gene expression levels in blood were determined in women of the Rotterdam Study (N=135) and GARP (N=98). Associations were examined using linear regression analyses, adjusted for age, fasting status, RNA quality, technical batch effects, blood cell counts, and BMI. To investigate enriched pathways and protein-protein interactions, we used the DAVID and STRING webtools.Results: In a meta-analysis, we identified 257 probes mapping to 189 unique genes in blood that were nominally significantly associated with joint effusion grades in the knee. Several compelling genes were identified such as C1orf38 and NFATC1. Significantly enriched biological pathways were: response to stress, gene expression, negative regulation of intracellular signal transduction, and antigen processing and presentation of exogenous pathways.Conclusion: Meta-analyses and subsequent enriched biological pathways resulted in interesting candidate genes associated with joint effusion that require further characterization. Associations were not transcriptome-wide significant most likely due to limited power. Additional studies are required to replicate our findings in more samples, which will greatly help in understanding the pathophysiology of OA and its relation to inflammation, and may result in biomarkers urgently needed to diagnose OA at an early stage.


Blood ◽  
2018 ◽  
Vol 132 (Supplement 1) ◽  
pp. 3807-3807
Author(s):  
Bidossessi Wilfried Hounkpe ◽  
Rafaela O Benatti ◽  
Benilton S Carvalho ◽  
Erich Vinicius De Paula

Abstract Background: The formation of thrombi inside arteries and veins is a process that underlies the pathogenesis of the most important causes of morbidity and mortality in the modern world: namely cardiovascular diseases (CVD), a term encompassing acute myocardial infarction (AMI), ischemic stroke (IS) and peripheral arterial occlusive disease (PAOD); and venous thromboembolism (VTE). So far, the discussion on how much CVD and VTE share and differ in terms of pathological mechanisms has been based on morphological studies about the composition of venous and arterial thrombi, epidemiological studies about the association and common risk factors of CVD and VTE, and inferences upon the cellular and molecular mechanisms of each of these conditions. Objective: Here we introduce a new strategy to obtain insights on the association of CVD and VTE based on the comparison of transcriptomic signatures associated with these conditions. Methods: publicly available datasets (from Gene Expression Omnibus Database) of gene expression data from patients with AMI, IS, PAOD, cardioembolic stroke (CS), and VTE were identified and retrieved. Stringent selection criteria regarding patient selection, microarray methods and RNA sources were applied to limit heterogeneity as much as possible. A meta-analysis was performed using a robust statistical method, allowing the identification of genes that are commonly expressed in the same direction in all five conditions. We also identified a list of genes that were divergently expressed between VTE and CVD. Both lists were then used for functional and correlation analyses aimed to gain additional insights on the molecular pathogenesis of arterial and venous thrombosis. Results: Five datasets fulfilled the inclusion criteria and were included in our analyses: the dataset of VTE patients originally compared gene expression levels in patients with single or recurrent VTE with healthy controls (GSE19151); three datasets involving CVD compared gene expression levels of patients with PAOD (GSE 27034), AMI (GSE 48060) and IS (GSE 22255) with study-specific healthy controls. A dataset comparing patients with CS (GSE58294) and healthy controls was also included. In total, data from 163 adult patients and 145 healthy controls were analyzed. The meta-analysis generated a list of 473 genes whose expression was changed in the same direction in all five conditions (168 up-regulated and 305 down-regulated). The top 20 up- and down-regulated genes are shown in figure 1a. The functional analysis of the 168 up-regulated genes identified pathways associated with hemostasis, innate immunity and neutrophil activation and degranulation as overrepresented in patients compared to controls. When gene expression fold-change levels were analyzed across all five diseases, a lower correlation coefficient was observed between VTE and CVD, when compared to correlations observed within CVD such as AMI and PAOD (fig.1b). Moreover, an unsupervised cluster analysis showed that the expression pattern of these 473 genes in AMI, PAOD and IS are more closely related to each other than to VTE and CS (fig. 1a). When the 124 genes that were divergently expressed between VTE and CVD were functionally analyzed, genes that were upregulated only in CVD were associated with activation of innate immunity, whereas genes that were upregulated in VTE were associated with cell maintenance pathways. Discussion and conclusion: our comparative analyses provide new data on how venous and arterial thrombosis differ at a transcriptional level. Specifically, we identified a set of 473 genes whose expression levels were consistently changed in both CVD and VTE, and 124 genes with divergent expression levels between these conditions. The prominence of pathways associated with hemostasis, innate immunity and neutrophil function in both CVD and VTE are in line with the concept of immunothrombosis in the pathogenesis of thrombotic disorders. The clustering of MI, IS and PAOD compared to VTE and CS is coherent with the concept that CS is caused by thrombi formed in a different microenvironment than IS. Additional studies are warranted on the role of these genes and pathways in the pathogenesis of CVD and VTE, as well as on the biological relevance of these thrombosis-specific gene expression signatures in other thrombotic disorders. Disclosures De Paula: Hematology and Transfusion Medicine Center, University of Campinas: Employment.


2020 ◽  
Author(s):  
Jaroslav Rokicki ◽  
Daniel S Quintana ◽  
Lars T. Westlye

The measurement of gene expression levels in the human brain can help accelerate our understanding of complex mental states and psychiatric illnesses. Mental states are typically associated with whole-brain networks, however, gene expression levels from post-mortem brain samples have traditionally been measured in a limited number of brain regions due to resource limitations. The recent availability of whole-brain gene expression data from the Allen Human Brain Atlas (AHBA) provides the opportunity to generate gene expression patterns for over 20,000 genes. By linking these expression patterns with brain activity patterns that are associated with specific mental states, researchers can better understand which genes may support given mental states, via forward inference. Conversely, reverse inference can also be used to determine which mental state activation patterns are most strongly associated with a given gene expression map. This chapter provides a step-by-step guide on how to use the AHBA in conjunction with the NeuroSynth fMRI meta-analysis tool to identify the mental state correlates of specific gene expression patterns, using genes from oxytocin signaling pathway as an example. We also demonstrate how to perform an out-of-sample validation and assess the specificity of results for genes of interest.


2012 ◽  
Vol 2012 ◽  
pp. 1-6 ◽  
Author(s):  
Kenji Inoue ◽  
Tatsuhiko Kodama ◽  
Hiroyuki Daida

Numerous studies have recently examined the role of pentraxin 3 (PTX3) in clinical situations. The pentraxin family includes C-reactive protein (CRP); however, unlike CRP, PTX3 is expressed predominantly in atherosclerotic lesions that involve macrophages, neutrophils, dendritic cells, or smooth muscle cells. Interestingly, PTX3 gene expression in human endothelial cells is suppressed to a greater extent by pitavastatin than the expression of 6,000 other human genes that have been examined, suggesting that PTX3 may be a novel biomarker for inflammatory cardiovascular disease. The expression and involvement of PTX3 in cardiovascular diseases are discussed in this paper, along with the characteristics of PTX3 that make it a suitable biomarker; namely, that the physiological concentration is known and it is independent of other risk factors. The results discussed in this paper suggest that further investigations into the potential novel use of PTX3 as a biomarker for inflammatory cardiovascular disease should be undertaken.


2021 ◽  
Author(s):  
Pavel V. Mazin ◽  
Philipp Khaitovich ◽  
Margarida Cardoso-Moreira ◽  
Henrik Kaessmann

AbstractAlternative splicing (AS) is pervasive in mammalian genomes, yet cross-species comparisons have been largely restricted to adult tissues and the functionality of most AS events remains unclear. We assessed AS patterns across pre- and postnatal development of seven organs in six mammals and a bird. Our analyses revealed that developmentally dynamic AS events, which are especially prevalent in the brain, are substantially more conserved than nondynamic ones. Cassette exons with increasing inclusion frequencies during development show the strongest signals of conserved and regulated AS. Newly emerged cassette exons are typically incorporated late in testis development, but those retained during evolution are predominantly brain specific. Our work suggests that an intricate interplay of programs controlling gene expression levels and AS is fundamental to organ development, especially for the brain and heart. In these regulatory networks, AS affords substantial functional diversification of genes through the generation of tissue- and time-specific isoforms from broadly expressed genes.


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