LJELSR: a Strengthened Version of JELSR for Feature Selection and Clustering
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Transcription Factor Creb3l1 Regulates the Synthesis of Prohormone Convertase Enzyme PC1/3 in Endocrine Cells
Greenwood, M., Paterson, A., Rahman, P. A., Gillard, B. T., Langley, S., Iwasaki, Y., Murphy, D., & Greenwood, M. P. (2020). Transcription factor Creb3l1 regulates the synthesis of prohormone convertase enzyme PC1/3 in endocrine cells. Journal of Neuroendocrinology, 32(4), [E12851]. https://doi.org/10.1111/jne.12851 Publisher's PDF, also known as Version of record License (if available): CC BY Link to published version (if available): 10.1111/jne.12851 Link to publication record in Explore Bristol Research PDF-document This is the final published version of the article (version of record). It first appeared online via Wiley at https://onlinelibrary.wiley.com/doi/full/10.1111/jne.12851 . Please refer to any applicable terms of use of the publisher. University of Bristol - Explore Bristol Research General rights This document is made available in accordance with publisher policies. Please cite only the published version using the reference above. Full terms of use are available: http://www.bristol.ac.uk/red/research-policy/pure/user-guides/ebr-terms/ Received: 11 November 2019 | Revised: 31 March 2020 | Accepted: 31 March 2020 DOI: 10.1111/jne.12851 ORIGINAL ARTICLE Transcription factor Creb3l1 regulates the synthesis of prohormone convertase enzyme PC1/3 in endocrine cells Mingkwan Greenwood1 | Alex Paterson1 | Parveen Akhter Rahman1 | Benjamin Thomas Gillard1 | Sydney Langley1 | Yasumasa Iwasaki2 | David Murphy1 | Michael Paul Greenwood1 1Translational Health Sciences, Bristol Medical School, University of Bristol, Bristol, Abstract UK Transcription factor cAMP responsive element-binding protein 3 like 1 (Creb3l1) is a 2 Health Care Center, Kochi University, non-classical endoplasmic reticulum stress molecule that is emerging as an important Kochi, Japan component for cellular homeostasis, particularly within cell types with high peptide Correspondence secretory capabilities. -
S100A7 Promotes the Migration and Invasion of Osteosarcoma Cells Via the Receptor for Advanced Glycation End Products
ONCOLOGY LETTERS 3: 1149-1153, 2012 S100A7 promotes the migration and invasion of osteosarcoma cells via the receptor for advanced glycation end products KEN KATAOKA*, TOMOYUKI ONO*, HITOSHI MURATA, MIKA MORISHITA, KEN-ICHI YAMAMOTO, MASAKIYO SAKAGUCHI and NAM-HO HUH Department of Cell Biology, Okayama University Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama 700-8558, Japan Received December 14, 2011; Accepted February 1, 2012 DOI: 10.3892/ol.2012.612 Abstract. Osteosarcoma is the most common malignant tumor significantly improved the 5-year survival rate of osteosarcoma of bone in childhood and adolescence. Despite intensive patients from 15 to 70% (2). However, 30-40% of patients still research for new therapies, the outcome in patients with metas- succumb to the disease, mainly due to distant metastasis to tasis remains extremely poor. S100 proteins are involved in the the lung (3). Despite intensive research for new therapies, the proliferation, cell cycle progression and metastasis of numerous outcome in patients with metastasis remains extremely poor. malignant tumors, including osteosarcoma. In the present study, The S100 protein family consists of 20 calcium-binding we identified S100A7 as a candidate to promote the migra- proteins with EF hand motifs (4). S100 proteins have been tion of osteosarcoma cells. S100A7 promoted the migration shown to have intracellular and extracellular roles in the regula- and invasion of osteosarcoma cells as assayed in vitro. An in tion of diverse processes, including protein phosphorylation, vitro pull-down assay revealed the binding of the recombinant cell growth and motility, cell-cycle regulation, transcription, S100A7 protein with its putative receptor, the receptor for differentiation and cell survival (5). -
Non-Invasive Biomarkers for Earlier Detection of Pancreatic Cancer—A Comprehensive Review
cancers Review Non-Invasive Biomarkers for Earlier Detection of Pancreatic Cancer—A Comprehensive Review Greta Brezgyte †, Vinay Shah † , Daria Jach and Tatjana Crnogorac-Jurcevic * Centre for Cancer Biomarkers and Biotherapeutics, Barts Cancer Institute, Queen Mary University of London, London EC1M 6BQ, UK; [email protected] (G.B.); [email protected] (V.S.); [email protected] (D.J.) * Correspondence: [email protected] † Shared first authorship. Simple Summary: Pancreatic ductal adenocarcinoma (PDAC), which represents approximately 90% of all pancreatic cancers, is an extremely aggressive and lethal disease. It is considered a silent killer due to a largely asymptomatic course and late clinical presentation. Earlier detection of the disease would likely have a great impact on changing the currently poor survival figures for this malignancy. In this comprehensive review, we assessed over 4000 reports on non-invasive PDAC biomarkers in the last decade. Applying the Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) tool, we selected and reviewed in more detail 49 relevant studies reporting on the most promising candidate biomarkers. In addition, we also highlight the present challenges and complexities of translating novel biomarkers into clinical use. Abstract: Pancreatic ductal adenocarcinoma (PDAC) carries a deadly diagnosis, due in large part to delayed presentation when the disease is already at an advanced stage. CA19-9 is currently the most commonly utilized biomarker for PDAC; however, it lacks the necessary accuracy to detect precursor lesions or stage I PDAC. Novel biomarkers that could detect this malignancy with Citation: Brezgyte, G.; Shah, V.; Jach, improved sensitivity (SN) and specificity (SP) would likely result in more curative resections and D.; Crnogorac-Jurcevic, T. -
Datasheet: VMA00595 Product Details
Datasheet: VMA00595 Description: MOUSE ANTI S100A8 Specificity: S100A8 Format: Purified Product Type: PrecisionAb™ Monoclonal Isotype: IgG2b Quantity: 100 µl Product Details Applications This product has been reported to work in the following applications. This information is derived from testing within our laboratories, peer-reviewed publications or personal communications from the originators. Please refer to references indicated for further information. For general protocol recommendations, please visit www.bio-rad-antibodies.com/protocols. Yes No Not Determined Suggested Dilution Western Blotting 1/1000 PrecisionAb antibodies have been extensively validated for the western blot application. The antibody has been validated at the suggested dilution. Where this product has not been tested for use in a particular technique this does not necessarily exclude its use in such procedures. Further optimization may be required dependant on sample type. Target Species Human Species Cross Reacts with: Mouse Reactivity N.B. Antibody reactivity and working conditions may vary between species. Product Form Purified IgG - liquid Preparation Mouse monoclonal antibody affinity purified on immunogen from tissue culture supernatant Buffer Solution Phosphate buffered saline Preservative 0.09% Sodium Azide (NaN3) Stabilisers 1% Bovine Serum Albumin Immunogen Full length recombinant human S100A8 External Database Links UniProt: P05109 Related reagents Entrez Gene: 6279 S100A8 Related reagents Synonyms CAGA, CFAG, MRP8 Page 1 of 2 Specificity Mouse anti Human S100A8 antibody recognizes S100A8, also known as MRP-8, S100 calcium- binding protein A8 (calgranulin A), calprotectin L1L subunit, leukocyte L1 complex light chain or migration inhibitory factor-related protein 8. The protein encoded by S100A8 is a member of the S100 family of proteins containing 2 EF-hand calcium-binding motifs. -
Multifactorial Erβ and NOTCH1 Control of Squamous Differentiation and Cancer
Multifactorial ERβ and NOTCH1 control of squamous differentiation and cancer Yang Sui Brooks, … , Karine Lefort, G. Paolo Dotto J Clin Invest. 2014;124(5):2260-2276. https://doi.org/10.1172/JCI72718. Research Article Oncology Downmodulation or loss-of-function mutations of the gene encoding NOTCH1 are associated with dysfunctional squamous cell differentiation and development of squamous cell carcinoma (SCC) in skin and internal organs. While NOTCH1 receptor activation has been well characterized, little is known about how NOTCH1 gene transcription is regulated. Using bioinformatics and functional screening approaches, we identified several regulators of the NOTCH1 gene in keratinocytes, with the transcription factors DLX5 and EGR3 and estrogen receptor β (ERβ) directly controlling its expression in differentiation. DLX5 and ERG3 are required for RNA polymerase II (PolII) recruitment to the NOTCH1 locus, while ERβ controls NOTCH1 transcription through RNA PolII pause release. Expression of several identified NOTCH1 regulators, including ERβ, is frequently compromised in skin, head and neck, and lung SCCs and SCC-derived cell lines. Furthermore, a keratinocyte ERβ–dependent program of gene expression is subverted in SCCs from various body sites, and there are consistent differences in mutation and gene-expression signatures of head and neck and lung SCCs in female versus male patients. Experimentally increased ERβ expression or treatment with ERβ agonists inhibited proliferation of SCC cells and promoted NOTCH1 expression and squamous differentiation both in vitro and in mouse xenotransplants. Our data identify a link between transcriptional control of NOTCH1 expression and the estrogen response in keratinocytes, with implications for differentiation therapy of squamous cancer. Find the latest version: https://jci.me/72718/pdf Research article Multifactorial ERβ and NOTCH1 control of squamous differentiation and cancer Yang Sui Brooks,1,2 Paola Ostano,3 Seung-Hee Jo,1,2 Jun Dai,1,2 Spiro Getsios,4 Piotr Dziunycz,5 Günther F.L. -
A Novel Computational Algorithm for Predicting Immune Cell Types Using Single-Cell RNA Sequencing Data
A novel computational algorithm for predicting immune cell types using single-cell RNA sequencing data By Shuo Jia A hesis submitted to the Faculty of Graduate Studies of The University of Manitoba n partial fulfillment of the requirements of the degree of MASTER OF SCIENCE Department of Biochemistry and Medical Genetics University of Manitoba Winnipeg, Manitoba, Canada Copyright © 2020 by Shuo Jia Abstract Background: Cells from our immune system detect and kill pathogens to protect our body against many diseases. However, current methods for determining cell types have some major limitations, such as being time-consuming and with low throughput rate, etc. These problems stack up and hinder the deep exploration of cellular heterogeneity. Immune cells that are associated with cancer tissues play a critical role in revealing the stages of tumor development. Identifying the immune composition within tumor microenvironments in a timely manner will be helpful to improve clinical prognosis and therapeutic management for cancer. Single-cell RNA sequencing (scRNA-seq), an RNA sequencing (RNA-seq) technique that focuses on a single cell level, has provided us with the ability to conduct cell type classification. Although unsupervised clustering approaches are the major methods for analyzing scRNA-seq datasets, their results vary among studies with different input parameters and sizes. However, in supervised machine learning methods, information loss and low prediction accuracy are the key limitations. Methods and Results: Genes in the human genome align to chromosomes in a particular order. Hence, we hypothesize incorporating this information into our model will potentially improve the cell type classification performance. In order to utilize gene positional information, we introduce chromosome-based neural network, namely ChrNet, a novel chromosome-specific re-trainable supervised learning method based on a one-dimensional 1 convolutional neural network (1D-CNN). -
Two Locus Inheritance of Non-Syndromic Midline Craniosynostosis Via Rare SMAD6 and 4 Common BMP2 Alleles 5 6 Andrew T
1 2 3 Two locus inheritance of non-syndromic midline craniosynostosis via rare SMAD6 and 4 common BMP2 alleles 5 6 Andrew T. Timberlake1-3, Jungmin Choi1,2, Samir Zaidi1,2, Qiongshi Lu4, Carol Nelson- 7 Williams1,2, Eric D. Brooks3, Kaya Bilguvar1,5, Irina Tikhonova5, Shrikant Mane1,5, Jenny F. 8 Yang3, Rajendra Sawh-Martinez3, Sarah Persing3, Elizabeth G. Zellner3, Erin Loring1,2,5, Carolyn 9 Chuang3, Amy Galm6, Peter W. Hashim3, Derek M. Steinbacher3, Michael L. DiLuna7, Charles 10 C. Duncan7, Kevin A. Pelphrey8, Hongyu Zhao4, John A. Persing3, Richard P. Lifton1,2,5,9 11 12 1Department of Genetics, Yale University School of Medicine, New Haven, CT, USA 13 2Howard Hughes Medical Institute, Yale University School of Medicine, New Haven, CT, USA 14 3Section of Plastic and Reconstructive Surgery, Department of Surgery, Yale University School of Medicine, New Haven, CT, USA 15 4Department of Biostatistics, Yale University School of Medicine, New Haven, CT, USA 16 5Yale Center for Genome Analysis, New Haven, CT, USA 17 6Craniosynostosis and Positional Plagiocephaly Support, New York, NY, USA 18 7Department of Neurosurgery, Yale University School of Medicine, New Haven, CT, USA 19 8Child Study Center, Yale University School of Medicine, New Haven, CT, USA 20 9The Rockefeller University, New York, NY, USA 21 22 ABSTRACT 23 Premature fusion of the cranial sutures (craniosynostosis), affecting 1 in 2,000 24 newborns, is treated surgically in infancy to prevent adverse neurologic outcomes. To 25 identify mutations contributing to common non-syndromic midline (sagittal and metopic) 26 craniosynostosis, we performed exome sequencing of 132 parent-offspring trios and 59 27 additional probands. -
Dual Proteome-Scale Networks Reveal Cell-Specific Remodeling of the Human Interactome
bioRxiv preprint doi: https://doi.org/10.1101/2020.01.19.905109; this version posted January 19, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. All rights reserved. No reuse allowed without permission. Dual Proteome-scale Networks Reveal Cell-specific Remodeling of the Human Interactome Edward L. Huttlin1*, Raphael J. Bruckner1,3, Jose Navarrete-Perea1, Joe R. Cannon1,4, Kurt Baltier1,5, Fana Gebreab1, Melanie P. Gygi1, Alexandra Thornock1, Gabriela Zarraga1,6, Stanley Tam1,7, John Szpyt1, Alexandra Panov1, Hannah Parzen1,8, Sipei Fu1, Arvene Golbazi1, Eila Maenpaa1, Keegan Stricker1, Sanjukta Guha Thakurta1, Ramin Rad1, Joshua Pan2, David P. Nusinow1, Joao A. Paulo1, Devin K. Schweppe1, Laura Pontano Vaites1, J. Wade Harper1*, Steven P. Gygi1*# 1Department of Cell Biology, Harvard Medical School, Boston, MA, 02115, USA. 2Broad Institute, Cambridge, MA, 02142, USA. 3Present address: ICCB-Longwood Screening Facility, Harvard Medical School, Boston, MA, 02115, USA. 4Present address: Merck, West Point, PA, 19486, USA. 5Present address: IQ Proteomics, Cambridge, MA, 02139, USA. 6Present address: Vor Biopharma, Cambridge, MA, 02142, USA. 7Present address: Rubius Therapeutics, Cambridge, MA, 02139, USA. 8Present address: RPS North America, South Kingstown, RI, 02879, USA. *Correspondence: [email protected] (E.L.H.), [email protected] (J.W.H.), [email protected] (S.P.G.) #Lead Contact: [email protected] bioRxiv preprint doi: https://doi.org/10.1101/2020.01.19.905109; this version posted January 19, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder. -
A Computational Approach for Defining a Signature of Β-Cell Golgi Stress in Diabetes Mellitus
Page 1 of 781 Diabetes A Computational Approach for Defining a Signature of β-Cell Golgi Stress in Diabetes Mellitus Robert N. Bone1,6,7, Olufunmilola Oyebamiji2, Sayali Talware2, Sharmila Selvaraj2, Preethi Krishnan3,6, Farooq Syed1,6,7, Huanmei Wu2, Carmella Evans-Molina 1,3,4,5,6,7,8* Departments of 1Pediatrics, 3Medicine, 4Anatomy, Cell Biology & Physiology, 5Biochemistry & Molecular Biology, the 6Center for Diabetes & Metabolic Diseases, and the 7Herman B. Wells Center for Pediatric Research, Indiana University School of Medicine, Indianapolis, IN 46202; 2Department of BioHealth Informatics, Indiana University-Purdue University Indianapolis, Indianapolis, IN, 46202; 8Roudebush VA Medical Center, Indianapolis, IN 46202. *Corresponding Author(s): Carmella Evans-Molina, MD, PhD ([email protected]) Indiana University School of Medicine, 635 Barnhill Drive, MS 2031A, Indianapolis, IN 46202, Telephone: (317) 274-4145, Fax (317) 274-4107 Running Title: Golgi Stress Response in Diabetes Word Count: 4358 Number of Figures: 6 Keywords: Golgi apparatus stress, Islets, β cell, Type 1 diabetes, Type 2 diabetes 1 Diabetes Publish Ahead of Print, published online August 20, 2020 Diabetes Page 2 of 781 ABSTRACT The Golgi apparatus (GA) is an important site of insulin processing and granule maturation, but whether GA organelle dysfunction and GA stress are present in the diabetic β-cell has not been tested. We utilized an informatics-based approach to develop a transcriptional signature of β-cell GA stress using existing RNA sequencing and microarray datasets generated using human islets from donors with diabetes and islets where type 1(T1D) and type 2 diabetes (T2D) had been modeled ex vivo. To narrow our results to GA-specific genes, we applied a filter set of 1,030 genes accepted as GA associated. -
CREB3L1 Antibody (C-Term) Purified Rabbit Polyclonal Antibody (Pab) Catalog # Ap6589b
10320 Camino Santa Fe, Suite G San Diego, CA 92121 Tel: 858.875.1900 Fax: 858.622.0609 CREB3L1 Antibody (C-term) Purified Rabbit Polyclonal Antibody (Pab) Catalog # AP6589b Specification CREB3L1 Antibody (C-term) - Product Information Application WB, IHC-P, FC,E Primary Accession Q96BA8 Other Accession NP_443086 Reactivity Human, Mouse Host Rabbit Clonality Polyclonal Isotype Rabbit Ig Calculated MW 57005 Antigen Region 481-509 CREB3L1 Antibody (C-term) - Additional Information Western blot analysis of CREB3L1 Antibody Gene ID 90993 (C-term) (Cat. #AP6589b) in mouse stomach tissue lysates (35ug/lane). CREB3L1 (arrow) Other Names Cyclic AMP-responsive element-binding was detected using the purified Pab. protein 3-like protein 1, cAMP-responsive element-binding protein 3-like protein 1, Old astrocyte specifically-induced substance, OASIS, Processed cyclic AMP-responsive element-binding protein 3-like protein 1, CREB3L1, OASIS Target/Specificity This CREB3L1 antibody is generated from rabbits immunized with a KLH conjugated synthetic peptide between 481-509 amino acids from the C-terminal region of human CREB3L1. Dilution WB~~1:8000 IHC-P~~1:50~100 FC~~1:10~50 Anti-CREB3L1 Antibody (C-term) at 1:8000 Format dilution + HepG2 whole cell lysate Purified polyclonal antibody supplied in PBS Lysates/proteins at 20 µg per lane. with 0.09% (W/V) sodium azide. This Secondary Goat Anti-Rabbit IgG, (H+L), antibody is prepared by Saturated Peroxidase conjugated at 1/10000 dilution. Ammonium Sulfate (SAS) precipitation Predicted band size : 57 kDa followed by dialysis against PBS. Blocking/Dilution buffer: 5% NFDM/TBST. Storage Maintain refrigerated at 2-8°C for up to 2 Page 1/3 10320 Camino Santa Fe, Suite G San Diego, CA 92121 Tel: 858.875.1900 Fax: 858.622.0609 weeks. -
Integrating Single-Step GWAS and Bipartite Networks Reconstruction Provides Novel Insights Into Yearling Weight and Carcass Traits in Hanwoo Beef Cattle
animals Article Integrating Single-Step GWAS and Bipartite Networks Reconstruction Provides Novel Insights into Yearling Weight and Carcass Traits in Hanwoo Beef Cattle Masoumeh Naserkheil 1 , Abolfazl Bahrami 1 , Deukhwan Lee 2,* and Hossein Mehrban 3 1 Department of Animal Science, University College of Agriculture and Natural Resources, University of Tehran, Karaj 77871-31587, Iran; [email protected] (M.N.); [email protected] (A.B.) 2 Department of Animal Life and Environment Sciences, Hankyong National University, Jungang-ro 327, Anseong-si, Gyeonggi-do 17579, Korea 3 Department of Animal Science, Shahrekord University, Shahrekord 88186-34141, Iran; [email protected] * Correspondence: [email protected]; Tel.: +82-31-670-5091 Received: 25 August 2020; Accepted: 6 October 2020; Published: 9 October 2020 Simple Summary: Hanwoo is an indigenous cattle breed in Korea and popular for meat production owing to its rapid growth and high-quality meat. Its yearling weight and carcass traits (backfat thickness, carcass weight, eye muscle area, and marbling score) are economically important for the selection of young and proven bulls. In recent decades, the advent of high throughput genotyping technologies has made it possible to perform genome-wide association studies (GWAS) for the detection of genomic regions associated with traits of economic interest in different species. In this study, we conducted a weighted single-step genome-wide association study which combines all genotypes, phenotypes and pedigree data in one step (ssGBLUP). It allows for the use of all SNPs simultaneously along with all phenotypes from genotyped and ungenotyped animals. Our results revealed 33 relevant genomic regions related to the traits of interest. -
Emerging Roles of the Endoplasmic Reticulum Associated Unfolded Protein Response in Cancer Cell Migration and Invasion
cancers Review Emerging Roles of the Endoplasmic Reticulum Associated Unfolded Protein Response in Cancer Cell Migration and Invasion Celia Maria Limia 1,2,3,4,5, Chloé Sauzay 1,2, Hery Urra 3,4 , Claudio Hetz 3,4,5,6,7, Eric Chevet 1,2,8 and Tony Avril 1,2,8,* 1 Proteostasis & Cancer Team, Institut National de la Santé Et la Recherche Médicale U1242 Chemistry, Oncogenesis, Stress and Signaling, Université de Rennes, 35042 Rennes, France; [email protected] (C.M.L.); [email protected] (C.S.); [email protected] (E.C.) 2 Centre Eugène Marquis, 35042 Rennes, France 3 Biomedical Neuroscience Institute, University of Chile, 8380453 Santiago, Chile; [email protected] (H.U.); [email protected] (C.H.) 4 Center for Geroscience, Brain Health and Metabolism (GERO), 8380453 Santiago, Chile 5 Institute of Biomedical Sciences (ICBM), Faculty of Medicine, University of Chile, 8380453 Santiago, Chile 6 The Buck Institute for Research in Aging, Novato, CA 94945, USA 7 Department of Immunology and Infectious Diseases, Harvard School of Public Health, Boston, MA 02115, USA 8 Rennes Brain Cancer Team (REACT), 35042 Rennes, France * Correspondence: [email protected] Received: 9 April 2019; Accepted: 1 May 2019; Published: 6 May 2019 Abstract: Endoplasmic reticulum (ER) proteostasis is often altered in tumor cells due to intrinsic (oncogene expression, aneuploidy) and extrinsic (environmental) challenges. ER stress triggers the activation of an adaptive response named the Unfolded Protein Response (UPR), leading to protein translation repression, and to the improvement of ER protein folding and clearance capacity. The UPR is emerging as a key player in malignant transformation and tumor growth, impacting on most hallmarks of cancer.