Your email was sent successfully. Check your inbox.

An error occurred while sending the email. Please try again.

Proceed reservation?

Export
Filter
Collection
Language
  • 1
    Keywords: Biochemistry ; Biomedical Engineering ; Biochemistry, general ; Biomedical Engineering/Biotechnology ; Springer eBooks
    Description / Table of Contents: Principles of atomic force microscopy -- Atomic force microscopy-based single molecule force spectroscopy for biological applications -- Single molecule in situ detection on cell membrane and label molecule distributions using AFM/NSOM -- AFM imaging-force spectroscopy combination for molecular recognition at the single-cell level -- High resolution imaging of cells using atomic force microscopy -- The hyphenated technique of high speed atomic force microscopy and super resolution optical detection system -- AFM/Raman spectrum based imaging system and its application in single molecule detection -- Observing drug interactions with cell at nanoscale using atomic force microscopy -- In situ measuring mechanical properties of normal and disease cells -- High resolution AFM and its applications in molecular and cell biology
    Abstract: The book addresses new achievements in AFM instruments – e.g. higher speed and higher resolution – and how AFM is being combined with other new methods like NSOM, STED, STORM, PALM, and Raman. This book explores the latest advances in atomic force microscopy and related techniques in molecular and cell biology. Atomic force microscopy (AFM) can be used to detect the superstructures of the cell membrane, cell morphology, cell skeletons and their mechanical properties. Opening up new fields of in-situ dynamic study for living cells, enzymatic reactions, fibril growth and biomedical research, these combined techniques will yield valuable new insights into molecule and cell biology. This book offers a valuable resource for students and researchers in the fields of biochemistry, cell research and chemistry etc
    Pages: XIII, 235 p. 136 illus., 109 illus. in color. : online resource.
    ISBN: 9789811315107
    Signatur Availability
    BibTip Others were also interested in ...
  • 2
    Keywords: Medicine ; Cancer Research ; Medical Microbiology ; Parasitology ; Virology ; Biomedicine ; Cancer Research ; Medical Microbiology ; Virology ; Parasitology ; Springer eBooks
    Abstract: This book offers a state-of-the-art report on recent discoveries concerning viral, bacterial, and parasite infectious cancers. Cancer is one of the most common causes of death and diseases in human populations, and 15%-25% of human cancers in worldwide are considered to result from chronic infection by pathogens. Most oncology textbooks address genetic mutation, but not infectious agents such as viruses, bacteria and parasites. As such this book stimulates further research in the new area between cancers and chronic infection, and discusses the epidemiology and molecular biology of infectious causes of cancers. It also explores the prevention and treatment of infection-related cancers, and brings pathogenic research to the forefront in the never-ending endeavor to understand how pathogens maneuver and negotiate in a complex environment, including the micro/macro- environment of the human host. Further, it highlights the urgent need for a concerted program to develop vaccines and other diagnosis and interventions that will eventually help prevent and treat infectious cancers, and decrease their burden on human populations. It offers graduate students and researchers a comprehensive overview of the infectious causes of cancers
    Pages: XII, 271 p. 18 illus. in color. : online resource.
    ISBN: 9789811057656
    Signatur Availability
    BibTip Others were also interested in ...
  • 3
    Keywords: Nucleic Acids ; Cytology ; Nucleic Acid Chemistry ; Mathematical and Computational Biology ; Cell Biology ; Springer eBooks
    Description / Table of Contents: Introduction -- Topological structure and biological function of gene network regulated by microRNA -- MicroRNA function of some life process in the gene network -- Controlling the complex biological phenomena using mathematical tools
    Abstract: This book discusses topics related to the topological structure and biological function of gene networks regulated by microRNAs. It focuses on analyzing the relation between topological structure and biological function, applying these theoretical results to gene networks involving microRNA, illustrating their biological mechanisms, and identifying the roles of microRNA in controlling various phenomena emerging from the networks. In addition, the book explains how to control the complex biological phenomena using mathematical tools and offers a new perspective on studying microRNA. It is a useful resource for graduate students and researchers who are working on or interested in microRNAs and gene network
    Pages: XI, 224 p. 99 illus., 58 illus. in color. : online resource.
    ISBN: 9789402415773
    Signatur Availability
    BibTip Others were also interested in ...
  • 4
    Keywords: Life sciences ; Biochemical engineering ; Food science ; Nutrition ; Biochemistry ; Microbial genetics ; Life sciences ; Microbial Genetics and Genomics ; Medical Biochemistry ; Biochemical engineering ; Food science ; Animal Biochemistry ; Nutrition ; Springer eBooks
    Description / Table of Contents: Phylogenesis and Evolution of Lactic Acid Bacteria -- Biodiversity of Lactic Acid Bacteria -- Genomics of Lactic Acid Bacteria -- Proteomics of Lactic Acid Bacteria -- Lactic Acid Bacteria in Health and Disease -- Lactic Acid Bacteria and the Human Gastrointestinal Tract -- Application of Lactic Acid Bacteria℗ for Animal Production -- Traditional Chinese Fermented Dairy Foods
    Abstract: The book summarizes the latest research and developments in dairy biotechnology and engineering. It provides a strategic approach for readers relating to fundamental research and practical work with lactic acid bacteria. The book covers every aspect from identification, ecology, taxonomy and industrial use. All contributors are experts who have substantial experience in the corresponding research field. The book is intended for researchers in the human, animal, and food sciences related to lactic acid bacteria. Dr. Heping Zhang is a Professor at the Key Laboratory of Dairy Biotechnology and Engineering Ministry of Education, Inner Mongolia Agricultural University, China. Dr. Yimin Cai works in Livestock and Environment Division, Japan International Research Center for Agricultural Sciences(JIRCAS), Japan
    Pages: VIII, 535 p. 66 illus., 37 illus. in color. : online resource.
    ISBN: 9789401788410
    Signatur Availability
    BibTip Others were also interested in ...
  • 5
    Keywords: EXPRESSION ; transcription ; CHROMATIN ; WOMEN ; REVEALS ; susceptibility loci ; GENOME-WIDE ASSOCIATION ; AFRICAN-AMERICAN ; ESTROGEN-RECEPTOR BINDING ; DETERMINANT
    Abstract: The 10q26 locus in the second intron of FGFR2 is the locus most strongly associated with estrogen-receptor-positive breast cancer in genome-wide association studies. We conducted fine-scale mapping in case-control studies genotyped with a custom chip (iCOGS), comprising 41 studies (n = 89,050) of European ancestry, 9 Asian ancestry studies (n = 13,983), and 2 African ancestry studies (n = 2,028) from the Breast Cancer Association Consortium. We identified three statistically independent risk signals within the locus. Within risk signals 1 and 3, genetic analysis identified five and two variants, respectively, highly correlated with the most strongly associated SNPs. By using a combination of genetic fine mapping, data on DNase hypersensitivity, and electrophoretic mobility shift assays to study protein-DNA binding, we identified rs35054928, rs2981578, and rs45631563 as putative functional SNPs. Chromatin immunoprecipitation showed that FOXA1 preferentially bound to the risk-associated allele (C) of rs2981578 and was able to recruit ER alpha to this site in an allele-specific manner, whereas E2F1 preferentially bound the risk variant of rs35054928. The risk alleles were preferentially found in open chromatin and bound by Ser5 phosphorylated RNA polymerase II, suggesting that the risk alleles are associated with changes in transcription. Chromatin conformation capture demonstrated that the risk region was able to interact with the promoter of FGFR2, the likely target gene of this risk region. A role for FOXA1 in mediating breast cancer susceptibility at this locus is consistent with the finding that the FGFR2 risk locus primarily predisposes to estrogen-receptor-positive disease.
    Type of Publication: Journal article published
    PubMed ID: 24290378
    Signatur Availability
    BibTip Others were also interested in ...
  • 6
    Keywords: EXPRESSION ; BINDING ; GENOME-WIDE ASSOCIATION ; ESTROGEN-RECEPTOR-ALPHA ; CONFER SUSCEPTIBILITY ; RISK LOCUS ; COMMON VARIANTS ; FUNCTIONAL VARIANTS ; FOXA1 ; ANALYSES REVEAL
    Abstract: We recently identified a novel susceptibility variant, rs865686, for estrogen-receptor positive breast cancer at 9q31.2. Here, we report a fine-mapping analysis of the 9q31.2 susceptibility locus using 43 160 cases and 42 600 controls of European ancestry ascertained from 52 studies and a further 5795 cases and 6624 controls of Asian ancestry from nine studies. Single nucleotide polymorphism (SNP) rs676256 was most strongly associated with risk in Europeans (odds ratios [OR] = 0.90 [0.88-0.92]; P-value = 1.58 x 10(-25)). This SNP is one of a cluster of highly correlated variants, including rs865686, that spans 14.5 kb. We identified two additional independent association signals demarcated by SNPs rs10816625 (OR = 1.12 [1.08-1.17]; P-value = 7.89 x 10(-09)) and rs13294895 (OR = 1.09 [1.06-1.12]; P-value = 2.97 x 10(-11)). SNP rs10816625, but not rs13294895, was also associated with risk of breast cancer in Asian individuals (OR = 1.12 [1.06-1.18]; P-value = 2.77 x 10(-05)). Functional genomic annotation using data derived from breast cancer cell-line models indicates that these SNPs localise to putative enhancer elements that bind known drivers of hormone-dependent breast cancer, including ER-alpha, FOXA1 and GATA-3. In vitro analyses indicate that rs10816625 and rs13294895 have allele-specific effects on enhancer activity and suggest chromatin interactions with the KLF4 gene locus. These results demonstrate the power of dense genotyping in large studies to identify independent susceptibility variants. Analysis of associations using subjects with different ancestry, combined with bioinformatic and genomic characterisation, can provide strong evidence for the likely causative alleles and their functional basis.
    Type of Publication: Journal article published
    PubMed ID: 25652398
    Signatur Availability
    BibTip Others were also interested in ...
  • 7
    Keywords: RISK ; BRCA1 ; OVARIAN-CANCER ; METAANALYSIS ; ESTROGEN ; ALLELES ; CHEK2-ASTERISK-1100DELC ; CONFER SUSCEPTIBILITY ; COMMON VARIANTS ; GENOTYPE IMPUTATION
    Abstract: Genome-wide association studies (GWAS) and large-scale replication studies have identified common variants in 79 loci associated with breast cancer, explaining approximately 14% of the familial risk of the disease. To identify new susceptibility loci, we performed a meta-analysis of 11 GWAS, comprising 15,748 breast cancer cases and 18,084 controls together with 46,785 cases and 42,892 controls from 41 studies genotyped on a 211,155-marker custom array (iCOGS). Analyses were restricted to women of European ancestry. We generated genotypes for more than 11 million SNPs by imputation using the 1000 Genomes Project reference panel, and we identified 15 new loci associated with breast cancer at P 〈 5 x 10(-8). Combining association analysis with ChIP-seq chromatin binding data in mammary cell lines and ChIA-PET chromatin interaction data from ENCODE, we identified likely target genes in two regions: SETBP1 at 18q12.3 and RNF115 and PDZK1 at 1q21.1. One association appears to be driven by an amino acid substitution encoded in EXO1.
    Type of Publication: Journal article published
    PubMed ID: 25751625
    Signatur Availability
    BibTip Others were also interested in ...
  • 8
    Abstract: BACKGROUND: Incidence and mortality rates for gastric cancer, the fifth most commonly diagnosed and third most deadly cancer worldwide, are highest in East Asia. We sought to identify gastric cancer risk biomarkers among eight prospective studies from China, Japan and Korea. METHODS: This pooled nested case-control study included 1608 incident non-cardia gastric cancer cases and 1958 matched controls. Pre-diagnostic antibody levels to 15 Helicobacter pylori proteins were assessed using multiplex serology. Conditional logistic regression models were used to calculate odds ratios (ORs) and 95% confidence intervals (CIs). RESULTS: Sero-positivity to 10 H. pylori antigens (Omp, CagA, VacA, HcpC, HP 0305, GroEL, NapA, HyuA, Cad, HpaA) was associated with a 1.29- to 3.26-fold increase in odds of gastric cancer. Omp and HP 0305 consistently remained associated with gastric cancer risk after mutually adjusting for all other markers. Sero-positivity to both Omp and HP 0305 was associated with an over 4-fold increase in gastric cancer incidence (OR, 4.09; 95% CI 3.26-5.13). When limited to only those who are CagA+ H. pylori+, Omp/HP 0305 sero-positivity remained strongly associated with an over 3-fold increase in the odds of gastric cancer (OR, 3.34; 95% CI 2.27-4.91). The results were highly consistent among the cohorts. CONCLUSIONS: We have confirmed new H. pylori biomarkers that are strongly associated with gastric cancer risk, even among those infected with the known H. pylori virulence factor CagA. These results may help to design cost-efficient prevention strategies to reduce gastric cancer incidence in East Asia.
    Type of Publication: Journal article published
    PubMed ID: 27170766
    Signatur Availability
    BibTip Others were also interested in ...
  • 9
    Keywords: EXPRESSION ; GENE ; SIGNALING PATHWAY ; susceptibility loci ; GENOME-WIDE ASSOCIATION ; HORMONE-RELATED PROTEIN ; CONSORTIUM ; CONFER SUSCEPTIBILITY ; COMMON VARIANTS ; 14Q24.1 RAD51L1
    Abstract: Breast cancer is the most common cancer among women. Common variants at 27 loci have been identified as associated with susceptibility to breast cancer, and these account for similar to 9% of the familial risk of the disease. We report here a meta-analysis of 9 genome-wide association studies, including 10,052 breast cancer cases and 12,575 controls of European ancestry, from which we selected 29,807 SNPs for further genotyping. These SNPs were genotyped in 45,290 cases and 41,880 controls of European ancestry from 41 studies in the Breast Cancer Association Consortium (BCAC). The SNPs were genotyped as part of a collaborative genotyping experiment involving four consortia (Collaborative Oncological Gene-environment Study, COGS) and used a custom Illumina iSelect genotyping array, iCOGS, comprising more than 200,000 SNPs. We identified SNPs at 41 new breast cancer susceptibility loci at genome-wide significance (P 〈 5 x 10(-8)). Further analyses suggest that more than 1,000 additional loci are involved in breast cancer susceptibility.
    Type of Publication: Journal article published
    PubMed ID: 23535729
    Signatur Availability
    BibTip Others were also interested in ...
  • 10
    Keywords: EXPRESSION ; GENE ; SUSCEPTIBILITY ; ESTROGEN ; BODY-MASS INDEX ; COMMON VARIANT
    Abstract: Estrogen receptor (ER)-negative tumors represent 20-30% of all breast cancers, with a higher proportion occurring in younger women and women of African ancestry. The etiology and clinical behavior of ER-negative tumors are different from those of tumors expressing ER (ER positive), including differences in genetic predisposition. To identify susceptibility loci specific to ER-negative disease, we combined in a meta-analysis 3 genome-wide association studies of 4,193 ER-negative breast cancer cases and 35,194 controls with a series of 40 follow-up studies (6,514 cases and 41,455 controls), genotyped using a custom Illumina array, iCOGS, developed by the Collaborative Oncological Gene-environment Study (COGS). SNPs at four loci, 1q32.1 (MDM4, P = 2.1 x 10(-12) and LGR6, P = 1.4 x 10(-8)), 2p24.1 (P = 4.6 x 10(-8)) and 16q12.2 (FTO, P = 4.0 x 10(-8)), were associated with ER-negative but not ER-positive breast cancer (P 〉 0.05). These findings provide further evidence for distinct etiological pathways associated with invasive ER-positive and ER-negative breast cancers.
    Type of Publication: Journal article published
    PubMed ID: 23535733
    Signatur Availability
    BibTip Others were also interested in ...
Close ⊗
This website uses cookies and the analysis tool Matomo. More information can be found here...