35 research outputs found

    Biological and translational cancer proteomics

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    Biological and translational cancer proteomics

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    Tales from camp Wilde: queer(y)ing environmental education research

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    This paper questions the relative silence of queer theory and theorizing inenvironmental education research. We explore some possibilities for queering environmental education research by fabricating (and inviting colleagues to fabricate) stories of Camp Wilde, a fictional location that helps us to expose the facticity of the field&rsquo;s heteronormative constructedness. These stories suggest alternative ways of (re)presenting and (re)producing both the subjects/objects of our inquiries and our identities as researchers. The contributors draw on a variety of theoretical resources from art history, deconstruction, ecofeminism, literary criticism, popular cultural studies, and feminist poststructuralism to perform an orientation to environmental education research that we hope will never be arrested by its categorization as a &ldquo;new genre.&rdquo;<br /

    A streamlined mass spectrometry-based proteomics workflow for large scale FFPE tissue analysis

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    Formalin fixation and paraffin-embedding (FFPE) is the most common method to preserve human tissue for clinical diagnosis, and FFPE archives represent an invaluable resource for biomedical research. Proteins in FFPE material are stable over decades but their efficient extraction and streamlined analysis by mass spectrometry (MS)-based proteomics has so far proven challenging. Herein we describe a MS-based proteomic workflow for quantitative profiling of large FFPE tissue cohorts directly from histopathology glass slides. We demonstrate broad applicability of the workflow to clinical pathology specimens and variable sample amounts, including low-input cancer tissue isolated by laser microdissection. Using state-of-the-art data dependent acquisition (DDA) and data independent acquisition (DIA) MS workflows, we consistently quantify a large part of the proteome in 100 min single-run analyses. In an adenoma cohort comprising more than 100 samples, total workup took less than a day. We observed a moderate trend towards lower protein identification in long-term stored samples (>15 years), but clustering into distinct proteomic subtypes was independent of archival time. Our results underscore the great promise of FFPE tissues for patient phenotyping using unbiased proteomics and they prove the feasibility of analyzing large tissue cohorts in a robust, timely, and streamlined manner

    Metallopeptidase Inhibitor 1 (TIMP-1) promotes receptor tyrosine kinase c-Kit signaling in colorectal cancer

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    Colorectal cancer (CRC) is the third most prevalent cancer worldwide causing an estimated 700 000 deaths annually. Different types of treatment are available for patients with advanced metastatic colorectal cancer, including targeted biological agents, such as cetuximab, a monoclonal antibody that targets EGFR. We have previously reported a study indicating multiple levels of interaction between metallopeptidase inhibitor 1 (TIMP-1) and the epidermal growth factor (EGF) signaling axis, which could explain how TIMP-1 levels can affect the antitumor effects of EGFR inhibitors. We also reported an association between TIMP-1-mediated cell invasive behavior and KRAS status. To gain insight into the molecular mechanisms underlying the effects of TIMP-1 in CRC, we examined by transcriptomics, proteomics, and kinase activity profiling a matched pair of isogenic human CRC isogenic DLD-1 CRC cell clones, bearing either an hemizygous KRAS wild-type allele or KRAS G13D mutant allele, exposed, or not, to TIMP-1. Omics analysis of the two cell lines identified the receptor tyrosine kinase c-Kit, a proto-oncogene that can modulate cell proliferation and invasion in CRC, as a target for TIMP-1. We found that exposure of DLD-1 CRC cells to exogenously added TIMP-1 promoted phosphorylation of c-Kit, indicative of a stimulatory effect of TIMP-1 on the c-Kit signaling axis. In addition, TIMP-1 inhibited c-Kit shedding in CRC cells grown in the presence of exogenous TIMP-1. Given the regulatory roles that c-Kit plays in cell proliferation and migration, and the realization that c-Kit is an important oncogene in CRC, it is likely that some of the biological effects of TIMP-1 overexpression in CRC may be exerted through its effect on c-Kit signaling

    Spatially and cell-type resolved quantitative proteomic atlas of healthy human skin

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    Human skin provides both physical integrity and immunological protection from the external environment using functionally distinct layers, cell types and extracellular matrix. Despite its central role in human health and disease, the constituent proteins of skin have not been systematically characterized. Here, we combine advanced tissue dissection methods, flow cytometry and state-of-the-art proteomics to describe a spatially-resolved quantitative proteomic atlas of human skin. We quantify 10,701 proteins as a function of their spatial location and cellular origin. The resulting protein atlas and our initial data analyses demonstrate the value of proteomics for understanding cell-type diversity within the skin. We describe the quantitative distribution of structural proteins, known and previously undescribed proteins specific to cellular subsets and those with specialized immunological functions such as cytokines and chemokines. We anticipate that this proteomic atlas of human skin will become an essential community resource for basic and translational research (https://skin.science/)

    Region and cell-type resolved quantitative proteomic map of the human heart

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    The heart is a central human organ and its diseases are the leading cause of death worldwide, but an in-depth knowledge of the identity and quantity of its constituent proteins is still lacking. Here, we determine the healthy human heart proteome by measuring 16 anatomical regions and three major cardiac cell types by high-resolution mass spectrometry-based proteomics. From low microgram sample amounts, we quantify over 10,700 proteins in this high dynamic range tissue. We combine copy numbers per cell with protein organellar assignments to build a model of the heart proteome at the subcellular level. Analysis of cardiac fibroblasts identifies cellular receptors as potential cell surface markers. Application of our heart map to atrial fibrillation reveals individually distinct mitochondrial dysfunctions. The heart map is available at maxqb. biochem. mpg. de as a resource for future analyses of normal heart function and disease

    The comorbidity and co-medication profile of patients with progressive supranuclear palsy

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    BackgroundProgressive supranuclear palsy (PSP) is usually diagnosed in elderly. Currently, little is known about comorbidities and the co-medication in these patients.ObjectivesTo explore the pattern of comorbidities and co-medication in PSP patients according to the known different phenotypes and in comparison with patients without neurodegenerative disease.MethodsCross-sectional data of PSP and patients without neurodegenerative diseases (non-ND) were collected from three German multicenter observational studies (DescribePSP, ProPSP and DANCER). The prevalence of comorbidities according to WHO ICD-10 classification and the prevalence of drugs administered according to WHO ATC system were analyzed. Potential drug-drug interactions were evaluated using AiDKlinik (R).ResultsIn total, 335 PSP and 275 non-ND patients were included in this analysis. The prevalence of diseases of the circulatory and the nervous system was higher in PSP at first level of ICD-10. Dorsopathies, diabetes mellitus, other nutritional deficiencies and polyneuropathies were more frequent in PSP at second level of ICD-10. In particular, the summed prevalence of cardiovascular and cerebrovascular diseases was higher in PSP patients. More drugs were administered in the PSP group leading to a greater percentage of patients with polypharmacy. Accordingly, the prevalence of potential drug-drug interactions was higher in PSP patients, especially severe and moderate interactions.ConclusionsPSP patients possess a characteristic profile of comorbidities, particularly diabetes and cardiovascular diseases. The eminent burden of comorbidities and resulting polypharmacy should be carefully considered when treating PSP patients
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