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  • 1
    ISSN: 1365-4632
    Source: Blackwell Publishing Journal Backfiles 1879-2005
    Topics: Medicine
    Notes: Background The objective of this study was to explore the role of the polymerase chain reaction (PCR) for the detection of Mycobacterium tuberculosis DNA as a diagnostic aid in cutaneous tuberculosis, using routinely processed skin biopsy specimens. Methods and results A wide range of clinical specimens representing different forms of cutaneous tuberculosis and so-called tuberculids were studied. A sensitive and specific PCR assay targeting the sequence IS6110 of Mycobacterium tuberculosis complex was used. The specimens were categorized as follows. 1 Acid-fast bacilli (AFB) positive on biopsy (nine specimens from seven patients who were immunocompromised).PCR was positive in five specimens. Of these, one specimen was culture positive and three specimens were culture negative. 2 AFB negative on biopsy:(a) tuberculosis verrucosa cutis (23 specimens);(b) lupus vulgaris (three specimens);(c) cutaneous tuberculosis clinically suspected (six specimens).PCR was negative in all specimens. 3“Tuberculids.”(a) erythema induratum/nodular vasculitis (20 specimens);(b) papulonecrotic tuberculid (two specimens);(c) erythema nodosum (20 specimens).PCR was negative in all specimens. Conclusions The role of PCR in clinical dermatologic practice, at this stage, may be in differentiating between cutaneous tuberculosis and atypical mycobacterial infections in the context of an immunocompromised patient where AFB can be demonstrated on biopsy and cultures may be negative. In this clinical situation, PCR allows the prompt diagnosis and early institution of appropriate therapy. We have not found PCR to be a useful complement to the clinical and histologic diagnosis of “paucibacillary” forms of cutaneous tuberculosis.
    Type of Medium: Electronic Resource
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  • 2
    Abstract: Cancer is a leading cause of death worldwide. Tumor cells exploit various signaling pathways to promote their growth and metastasis. To our knowledge, the role of angiopoietin-like 4 protein (ANGPTL4) in cancer remains undefined. Here, we found that elevated ANGPTL4 expression is widespread in tumors, and its suppression impairs tumor growth associated with enhanced apoptosis. Tumor-derived ANGPTL4 interacts with integrins to stimulate NADPH oxidase-dependent production of O-2(-). A high ratio of O-2(-):H2O2 oxidizes/activates Src, triggering the PI3K/PKB alpha and ERK prosurvival pathways to confer anoikis resistance, thus promoting tumor growth. ANGPTL4 deficiency results in diminished O-2(-) production and a reduced O-2(-):H2O2 ratio, creating a cellular environment conducive to apoptosis. ANGPTL4 is an important redox player in cancer and a potential therapeutic target
    Type of Publication: Journal article published
    PubMed ID: 21397862
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  • 3
    Publication Date: 2018-11-02
    Description: Purpose: The oxaliplatin plus S-1 and cisplatin plus S-1 regimens are interchangeably used in the management of advanced gastric cancer. The previously reported G-intestinal (G1) and G-diffuse (G2) intrinsic gene expression signatures showed promise for stratifying patients according to their tumor sensitivity to oxaliplatin or cisplatin. Experimental Design: The proof-of-concept, multicenter, open-label phase II "3G" trial was done to prospectively evaluate the feasibility and efficacy of using genomic classifiers to tailor treatment in gastric cancer. Patients’ tumors were classified as "G1" or "G2" using a nearest-prediction template method, or "G3" (unclear assignment) when FDR ≥ 0.05. The first 30 patients in the "G1" cohort were assigned oxaliplatin plus S-1 (SOX) chemotherapy; thereafter, subsequently recruited "G1" patients were treated with cisplatin plus S-1 (SP) chemotherapy. "G2" patients and "G3" patients were treated with SP and SOX chemotherapy, respectively. Results: A total of 48, 21, and 12 patients, respectively, were given "G1," "G2," and "G3" genomic assignments. Median turnaround time was 7 days (IQR, 5–9). Response rates were 44.8%, 8.3%, 26.7%, and 55.6% for the "G1-SOX," "G1-SP," "G2," "G3" cohorts, respectively; and was higher in G1 patients treated with SOX compared with SP ( P = 0.033). Exploratory analyses using the genomic classifier of Lei and colleagues validated the utility of the metabolic signature as a biomarker for predicting benefit from chemotherapy (log-rank P = 0.004 for PFS), whereas the Asian Cancer Research Group classifier did not demonstrate any predictive value. Conclusions: This bench-to-bedside effort establishes a reasonable turnaround time for gene expression profiling and possible utility of genomic classifiers in gastric cancer treatment stratification. Clin Cancer Res; 24(21); 5272–81. ©2018 AACR .
    Print ISSN: 1078-0432
    Electronic ISSN: 1557-3265
    Topics: Medicine
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  • 4
    Publication Date: 2018-11-13
    Description: Author Correction: Reference component analysis of single-cell transcriptomes elucidates cellular heterogeneity in human colorectal tumors Author Correction: Reference component analysis of single-cell transcriptomes elucidates cellular heterogeneity in human colorectal tumors, Published online: 12 November 2018; doi:10.1038/s41588-018-0299-1 Author Correction: Reference component analysis of single-cell transcriptomes elucidates cellular heterogeneity in human colorectal tumors
    Print ISSN: 1061-4036
    Electronic ISSN: 1546-1718
    Topics: Biology , Medicine
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  • 5
    Philadelphia : Wolters Kluwer Health / Lippincott Williams & Wilkins
    Call number: QZ241.5:13
    Keywords: Neoplasms / diagnosis ; Neoplasms / therapy ; Individualized Medicine / methods ; Medical Oncology / methods ; Molecular Diagnostic Techniques ; Molecular Targeted Therapy
    Notes: For online access to this volume please contact the library staff in room D124 (phone 3661, e-mail:
    Pages: xxiii, 968 p. : ill.
    ISBN: 9781451131970
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    QZ241.5:13 available
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  • 6
    Keywords: Pharmaceutical technology ; Biomedical Engineering ; Medical laboratories ; Pharmaceutical Sciences/Technology ; Biomedical Engineering/Biotechnology ; Laboratory Medicine ; Springer eBooks
    Description / Table of Contents: Preface -- Introduction & Literature review -- Materials & Methods -- A Simple Method of Microneedle Array Fabrication for Transdermal Drug Delivery -- Protein Encapsulation in Polymeric Microneedles by Photolithography -- Microneedle Patch for Fast Onset and Long-lasting Delivery of Painkillers -- Microneedle Patch to Deliver Collagen through the Skin -- Recent trends in microneedle development & applications in medicine & cosmetics (2013-2018) -- Conclusions & Future Directions -- Index
    Abstract: This monograph covers a novel technology to deliver drugs and cosmetics through the skin in a minimally invasive manner. Microneedles – a bed of miniaturized needles is one of the most studied topics in delivering actives through the skin barrier. This book enables readers to understand the delivery of ingredients through the skin, describes a novel and simple method to fabricate microneedles containing a range of small and large molecular weight compounds, studies their physical properties as well as delivery through the skin layers. Readers will discover this book to be extremely beneficial to help them understand the state of the field of transdermal drug delivery, with extensive coverage including experimental data on basics of microneedle fabrication technology using photolithography, encapsulation of drugs within the polymeric matrix of microneedles and studying their release patternsin vitro and ex vivo . Academic researchers, pharmaceutical and cosmeceutical industry as well as students of skin science will find this account very useful in their pursuits. As microneedles grow and develop into a commercial reality with more actives being delivered and significant clinical research being put in, this account will hold well in providing basic principles and knowledge together with rigorous experimental data
    Pages: X, 156 p. 25 illus., 18 illus. in color. : online resource.
    Edition: 1st ed. 2019.
    ISBN: 9783030154448
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  • 7
    Dordrecht : Springer Science+Business Media
    Keywords: Medicine ; Oncology ; Cell receptors ; Cytokines ; Cytology ; Biomedicine ; Cancer Research ; Molecular Medicine ; Cytokines and Growth Factors ; Receptors ; Cell Biology ; Springer eBooks
    Pages: : digital
    ISBN: 9789048195220
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  • 8
    Keywords: Life sciences ; Bioinformatics ; Proteomics ; Systems Biology ; Computational Biology ; Life sciences ; Computer Appl. in Life Sciences ; Systems Biology ; Computational Biology/Bioinformatics ; Proteomics ; Springer eBooks
    Description / Table of Contents: 1. Introduction -- 2. Systematic Strategies -- 3. Outcomes Assessment -- 4. Conceptual Models
    Abstract: This book is a practical review which focuses on computational analysis and on in silicoapproaches towards the systematic discovery of various key functional gene expression elements in microalgae as a model. So far, in this regard very little information is available. Efficient stepwise procedures for analysing the matrix attachment regions (MARs) are outlined, as well as for translation initiation sites (TIS), signal peptide (SP) sequences, gene optimization and transformation systems. These outlines can be efficiently deployed as practical models for the systematic discovery of key expression elements and for the optimization of cis/transgenes in other micro/organisms. The first chapter is an introduction on the key gene expression elements analysed in this book, including scaffold/matrix attachment regions, translation initiation sites, signal peptides as well as gene optimization. Chapter 2 focuses on systematic strategies and computational approaches toward in silico analysis of each factor. The analyses outcomes is assessed individually in chapter 3 followed by developing the specific conceptual models for each element in Chapter 4. The concluding remarks are discussed in Chapter 5. This work is of interest to computational and experimental biologists interested in transcriptional regulation analysis as well as to researchers and scientists who wish to consider the use of bioinformatics and computational biology in design, analysis, or regulatory reviews of key gene expression elements for the production of recombinant proteins experiments
    Pages: XVII, 120 p. 24 illus. : online resource.
    ISBN: 9783319903910
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  • 9
    Keywords: Life sciences ; Biochemistry ; Life sciences ; Biochemistry, general ; Springer eBooks
    Description / Table of Contents: Optogenetic Control of Ras/Erk Signaling Using the Phy–PIF System -- Dissecting Kinase Effector Signaling Using the RapRTAP Methodology -- Single-Cell Imaging of ERK Signaling Using Fluorescent Biosensors -- Quantification of Cell Signaling Networks Using Kinase Activity Chemosensors -- Expression of Recombinant Phosphoproteins for Signal Transduction Studies -- Allosteric Modulation of Src-Family Kinases with ATP-Competitive Inhibitors -- Characterization of Ligand Binding to Pseudokinases Using a Thermal Shift Assay -- Proteomic Profiling of Protein Kinase Inhibitor Targets by Mass Spectrometry -- Utilizing the Luminex Magnetic Bead-Based Suspension Arrays for Rapid Multiplexed Phosphoprotein Quantification -- High-Content Imaging and RNAi Screens for Investigating Kinase Network Plasticity -- Analysis of Drug Resistance Using Kinome-Wide Functional Screens -- Identification and Validation of Driver Kinases from Next Generation Sequencing Data -- Label-Free Phosphoproteomic Approach for Kinase Signaling Analysis -- Cell-Specific Labeling for Analyzing Bidirectional Signaling by Mass Spectrometry -- Characterization of the Phospho-Adhesome by Mass Spectrometry-Based Proteomics -- Analysis of Phosphotyrosine Signaling Networks in Lung Cancer Cell Lines -- Targeted Analysis of Phosphotyrosine Signaling by Multiple-Reaction-Monitoring Mass Spectrometry -- Phosphoproteomic Analysis of Isolated Mitochondria in Yeast -- A Methodology for Comprehensive Analysis of Toll-Like Receptor Signaling in Macrophages -- Absolute Phosphorylation Stoichiometry Analysis by Motif-Targeting Quantitative Mass Spectrometry -- Identification of Plant Kinase Substrates Based on Kinase Assay-Linked Phosphoproteomics -- Mass Spectrometry Analysis of Spatial Protein Networks by Colocalization Analysis (COLA) -- Development of Selected Reaction Monitoring Methods to Systematically Quantify Kinase Abundance and Phosphorylation Stoichiometry in Human Samples -- Analysis of Signaling Networks at the Single Cell Level Using Mass Cytometry -- Magnetic Resonance Spectroscopy (MRS)-Based Methods for Examining Cancer Metabolism in Response to Oncogenic Kinases Drug Treatment -- Deconstructing the Metabolic Networks of Oncogenic Signaling Using Targeted Liquid-Chromatography Tandem Mass Spectrometry (LC-MS/MS) -- Modeling of Receptor Tyrosine Kinase Signaling: Computational and Experimental Protocols -- An Interdisciplinary Approach for Designing Kinetic Models of the Ras/MAPK Signaling Pathway -- Databases and Computational Tools for Evolutionary Analysis of Protein Phosphorylation -- Informatics Approaches for Predicting, Understanding, and Testing Cancer Drug Combinations -- Target Inhibition Maps Based on Responses to Kinase Inhibitors -- Partial Least Squares Regression Models for the Analysis of Kinase Signaling
    Abstract: This detailed volume describes cutting-edge techniques in three distinct and complementary areas of contemporary kinase biology research. Beginning with a section on synthetic biology, chemical biology, and screening approaches to kinase signaling networks, the book continues with sections on mass spectrometry and metabolic analysis of kinase signaling as well as computational analysis of kinase signaling networks. Written for the highly successful Methods in Molecular Biologyseries, chapters include introductions to their respective topics, lists of the necessary materials and reagents, step-by-step, readily reproducible laboratory protocols, and tips on troubleshooting and avoiding known pitfalls. Authoritative and practical, Kinase Signaling Networks aims to provide scientists with the tools necessary to overcome the technological bottlenecks that limit our ability to gain a deeper mechanistic understanding of kinase biology
    Pages: XVII, 537 p. 112 illus., 74 illus. in color. : online resource.
    ISBN: 9781493971541
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  • 10
    Keywords: Life sciences ; Bioinformatics ; Life sciences ; Bioinformatics ; Springer eBooks
    Description / Table of Contents: MicroRNAs, Long Non-Coding RNAs, and Their Functions in Human Disease -- MicroRNA Expression: Protein Participants in MicroRNA Regulation -- Viral MicroRNAs, Host MicroRNAs Regulating Viruses, and Bacterial MicroRNA-Like RNAs -- MicroRNAs: Biomarkers, Diagnostics, and Therapeutics -- Relational Databases and Biomedical Big Data -- Semantic Technologies and Bio-Ontologies -- Genome-Wide Analysis of MicroRNA-Regulated Transcripts -- Computational Prediction of MicroRNA Target Genes, Target Prediction Databases, and Web Resources -- Exploring MicroRNA::Target Regulatory Interactions by Computing Technologies -- The Limitations of Existing Approaches in Improving MicroRNA Target Prediction Accuracy -- Genomic Regulation of MicroRNA Expression in Disease Development -- Next Generation Sequencing for MicroRNA Expression Profile -- Handling High-Dimension (High-Feature) MicroRNA Data -- Effective Removal of Noisy Data Via Batch Effect Processing -- Logical Reasoning (Inferencing) on MicroRNA Data -- Machine Learning Techniques in Exploring MicroRNA Gene Discovery, Targets, and Functions -- Involvement of MicroRNAs in Diabetes and Its Complications -- MicroRNA Regulatory Networks as Biomarkers in Obesity: The Emerging Role -- Expression of MicroRNAs in Thyroid Carcinoma
    Abstract: This thorough volume provides an in-depth introduction to and discussion of microRNAs (miRs) and their targets, miR functions, and computational techniques applied in miR research, thus serving the need for a comprehensive book focusing on miR target genes, miR regulation mechanisms, miR functions performed in various human diseases, and miR databases/knowledgebases. Without prior knowledge of the area of study, computational biologists, computer scientists, bioinformaticians, bench biologists, as well as clinical investigators will find it easy to follow the techniques in this collection. Written for the highly successful Methods in Molecular Biology series, chapters include the kind of detailed implementation advice that ensures successful results. Accessible and practical, Bioinformatics in MicroRNA Research functions as an ideal guide for researchers of all backgrounds to explore this vital area of study
    Pages: X, 285 p. 24 illus., 18 illus. in color. : online resource.
    ISBN: 9781493970469
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