Human Pancreatic Cultures
Ontology highlight
ABSTRACT:
INSTRUMENT(S): G2500A Hewlett Packard
ORGANISM(S): Homo sapiens
SUBMITTER: Susan Bonner-Weir
PROVIDER: E-MTAB-3032 | biostudies-arrayexpress |
REPOSITORIES: biostudies-arrayexpress
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Project description:Lung cancer is the leading cause of cancer death in the United States. Among the various subtypes of lung cancers, pulmonary neuroendocrine (NE) cancer, including small cell lung cancer (SCLC) and NE-non-small cell lung cancer (NE-NSCLC), is a particularly aggressive malignancy that is distinct from classic non–small cell lung cancer (NSCLC) in its metastatic potential and treatment response. Recently, the lineage-specific transcription factors Achaete-scute homolog 1 (ASCL1), NEUROD1, and POU2F3 have been reported to identify heterogeneity in pulmonary NE cancers. These transcription factors bind different genomic loci to regulate distinct gene programs in pulmonary NE cancers. However, the signaling pathways downstream of these transcription factors that distinguish these pulmonary NE cancer subtypes are not well characterized. Regulated protein secretion is critically involved in cell signaling and cell-cell communication events, and is known to be a hallmark associated with pulmonary NE tumors. Using a large-scale mass spectrometric approach, we performed quantitative secretomic analysis 13 cell lines including a pair of isogenic cell lines, i.e., an immortalized human bronchial epithelial cell and an ASCL1high NE NSCLC line. This panel also contained 6 additional ASCL1High and 5 NEUROD1High NE-lung cancer cell lines. From the conditioned media of the 13 cell lines, we identified and quantified 1,626 proteins. The NE-specific secretome is associated with a number of biological processes related to neurodevelopment. Further analysis of the upregulated proteins in ASCL1High subtype NE-lung cancer cells leads to the identification of IGFBP5 being a specific secreted marker for ASCL1High pulmonary NE cancer cells. Furthermore, IGFBP5 is also upregulated in the serum of a genetically modified mouse model of ASCL1High SCLC, as well as in human ASCL1High SCLC tumors. Mechanistically, ASCL1 binds to E-box elements in the IGFBP5 gene and directly regulates its transcription. Knockdown of ASCL1 in SCLC decreases IGFBP5 expression, which, in turn, leads to hyperactivation of the IGF-1R pathway. Pharmacological co-targeting of ASCL1 and IGF-1R signaling results in markedly synergistic, growth inhibitory effects in ASCL1High SCLC both in vitro and in vivo. Together, our quantitative proteomic analysis identifies a novel secreted marker and a new combination therapy for ASCL1High pulmonary NE cancer cells. In addition, we expect that the data sets will serve as an invaluable resource, providing the foundation for future mechanistic studies and biomarker discovery that helps delineate the molecular underpinnings of pulmonary NE tumors.
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2014-05-01 | E-GEOD-56373 | biostudies-arrayexpress
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Project description:Background & Aims Patient-derived gastrointestinal organoids are powerful tools for studying human physiology and disease. However, generating organoids requires prompt isolation and culture of fresh tissue, which is labor and time intensive, placing restraints on basic and clinical research. For example organoid biobanking efforts, or the ability to obtain specimens from distant locations that lack the expertise to culture organoids, is limited by current approaches. We sought to develop a method by which tissue biopsies from patients could be cryo-preserved, stored, or shipped, and later thawed in order to establish live organoid cultures. Methods A method for freezing and recovery, along with straightforward isolation methods using readily available materials were developed. Epithelial isolation and culture conditions were optimized to promote cell survival and the establishment of long-term culture post-thawing. Results Patient biopsies from stomach, duodenum, ileum, colon and from adenomateous colonic polyps were frozen, subsequently thawed and used to successfully establish patient-specific epithelium-only organoid cultures with 100% efficiency (n=31 independent patient biopsies from different regions of the GI tract). Frozen tissue could be shipped internationally and across the United States and used to establish successful organoid cultures. Organoid cultures could be expanded, passaged and frozen down for long-term storage. RNA-sequencing demonstrates that organoids derived from fresh tissue or from frozen biopsies are >99% transcriptionally identical. Conclusions Cryo-preservation of human tissue biopsies followed by the establishment of long-term, expandable cultures has negligible effect on transcription when compared to freshly prepared organoids, and will be of immense benefit to research and for clinical applications. This technique will allow for the establishment of biobanks of human tissues that can be revived and cultured in the future as well as transported across the globe for research, therapeutic or diagnostic use in remote labs and/or clinics.
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2015-05-28 | E-GEOD-63428 | biostudies-arrayexpress
Project description:Results We compared MetaNovo to published results from the MetaPro-IQ pipeline on 8 human mucosal-luminal interface samples, with comparable numbers of peptide and protein identifications, many shared peptide sequences and a similar bacterial taxonomic distribution compared to that found using a matched metagenome database - but simultaneously identified proteins present in the samples that are derived from known gut organisms that were missed by the previous analyses. Finally, MetaNovo was benchmarked on samples of known microbial composition against matched metagenomic and whole genomic database workflows, yielding many more MS/MS for the expected taxa, with improved taxonomic representation, while also highlighting previously described genome sequencing quality concerns for one of the organisms, and providing evidence for a known sample contaminant without prior expectation. Conclusions By estimating taxonomic and peptide level information directly on microbiome samples from tandem mass spectrometry data, MetaNovo enables the simultaneous identification of peptides from all domains of life in metaproteome samples, bypassing the need for curated sequence search databases. We show that the MetaNovo approach to mass spectrometry metaproteomics can be more accurate than current gold standard approaches of tailored or matched genomic database searches, identify sample contaminants without prior expectation and that increases in assigned spectra from this approach can yield novel insights into previously unidentified metaproteomic signals - building on the potential for complex mass spectrometry metaproteomic data to speak for itself. The pipeline source code is available on GitHub and documentation is provided to run the software as a singularity-compatible docker image available from the Docker Hub.
2023-05-16 | PXD030708 | Pride