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Books on the topic 'Development molecular markers'

Author: Grafiati

Published: 4 June 2021

Last updated: 13 February 2022

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1

Krul, Kenneth G. The promise of small-molecule mimetic drugs. Waltham, Mass: Decision Resources, 1997.

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2

(Editor), Giampietro Gasparini, and Daniel F. Hayes (Editor), eds. Biomarkers in Breast Cancer (Cancer Drug Discovery and Development). Humana Press, 2005.

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3

M, Hampton Garret, and Sikora Karol, eds. Genomics in cancer drug discovery and development. Amsterdam: Elsevier/AP, 2007.

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4

Helentjaris, Timothy. Development and Application of Molecular Markers to Problems in Plant Genetics (Current Communications in Cell and Molecular Biology). Cold Spring Harbor Laboratory Press, 1989.

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5

(Editor), Garret Hampton, Karol Sikora (Editor), George F. Vande Woude (Series Editor), and George Klein (Series Editor), eds. Genomics in Cancer Drug Discovery and Development, Volume 96 (Advances in Cancer Research). Academic Press, 2006.

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6

(Editor), Garret Hampton, Karol Sikora (Editor), George F. Vande Woude (Series Editor), and George Klein (Series Editor), eds. Genomics in Cancer Drug Discovery and Development, Volume 96 (Advances in Cancer Research). Academic Press, 2006.

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7

Hongtrakul, Vipa. The development and analysis of sequence-based DNA markers in sunflower for DNA fingerprinting and candidate gene analysis. 1997.

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8

Walsh, Scott R. A. Development of molecular markers for the detection and differentiation of Entomophaga strains pathogenic for insects. 1996.

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9

Singh, Shree Ram, and Pranela Rameshwar. MicroRNA in Development and in the Progression of Cancer. Springer, 2016.

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10

Singh, Shree Ram, and Pranela Rameshwar. MicroRNA in Development and in the Progression of Cancer. Springer, 2014.

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11

Gupta, Vijai Kumar, and Bhim Pratap Singh. Molecular Markers in Mycology: Diagnostics and Marker Developments. Springer, 2017.

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12

Cassidy, Jim, Donald Bissett, Roy A. J. Spence OBE, Roy A. J. Spence OBE, Miranda Payne, and Gareth Morris-Stiff. Biomarkers and cancer. Oxford University Press, 2018. http://dx.doi.org/10.1093/med/9780199689842.003.0040.

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Biomarkers and cancer defines these markers and outlines their role in diagnosis, prognosis, prediction of response, and response assessment of a variety of cancers. Established biomarkers are reviewed, and the potential for development of new biomarkers offered by the dramatic progress in both the understanding of molecular biology and the development of laboratory techniques is emphasised. The field of signal transduction has already proved fruitful, with identification of markers allowing successful targeted therapy in a range of cancers. Progress is anticipated also in tumour imaging, with developments in both MRI and PET. Areas of clinical interest are summarised for breast, lung, colorectal, renal, and CNS malignancies.

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13

Feng, Wang, ed. Biomarker methods in drug discovery and development. Totowa, NJ: Humana Press, 2008.

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14

(Editor), Rocky S. Tuan, and Cecilia W. Lo (Editor), eds. Developmental Biology Protocols Vol. 2 (Methods in Molecular Biology, 136) (Methods in Molecular Biology). Humana Press, 2000.

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15

(Editor), Rocky S. Tuan, and Cecilia W. Lo (Editor), eds. Developmental Biology Protocols Volume 1 (Methods in Molecular Biology). Humana Press, 2000.

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16

S, Tuan Rocky, and Lo Cecilia W, eds. Developmental biology protocols. Totowa, N.J: Humana Press, 2000.

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17

National Institutes of Health (U.S.), ed. Developmental Therapeutics Program, Turning Molecules into Medicines for The Public Health, Research Opportunities in Preclinical Drug Development, (Book Marker). [S.l: s.n., 2000.

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18

National Institutes of Health (U.S.), ed. Developmental Therapeutics Program, Turning Molecules into Medicines for The Public Health, Research Opportunities in Preclinical Drug Development, (Book Marker). [S.l: s.n., 2000.

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19

Gedil, Melaku Ayele. Marker development, genome mapping, and cloning of candidate disease resistance genes in sunflower, Helianthus annuus L. 1999.

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20

Policy Issues in the Development and Adoption of Biomarkers for Molecularly Targeted Cancer Therapies: Workshop Summary. National Academies Press, 2015.

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21

S, Bartlett John M., ed. Ovarian cancer: Methods and protocols. Totowa, N.J: Humana Press, 2001.

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22

Webb, David M. Genetic mapping of Cuphea lanceolata: Molecular-marker linkage to quantitative-trait loci affecting seed capric acid, seed oil, and embryo development. 1990.

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23

Relethford, John H. Biological Anthropology, Population Genetics, and Race. Edited by Naomi Zack. Oxford University Press, 2017. http://dx.doi.org/10.1093/oxfordhb/9780190236953.013.20.

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Recent developments in molecular genetics have given us much information about DNA markers and a detailed look at evolutionary causes of genetic variation in humans. Patterns of genetic variation within populations and genetic differences among populations is best understood in light of our species’ African origin 200,000 years ago and the subsequent dispersion of human populations throughout the world 70,000 to 100,000 years ago. Although an evolutionary focus on genetic variation using methods from the field of population genetics provides us with considerable insight regarding our history, older ideas based on traditional definitions of biological race have no explanatory value.

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24

Sumner, Jennifer A., Angela C. Bustamante, Karestan C. Koenen, and Monica Uddin. Genetics of PTSD. Edited by Israel Liberzon and Kerry J. Ressler. Oxford University Press, 2016. http://dx.doi.org/10.1093/med/9780190215422.003.0011.

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Trauma exposure and PTSD are heritable. However, the mechanisms of risk and resilience following trauma exposure are not yet well understood, suggesting that investigations into the genetic architecture of PTSD have much to contribute. This chapter reviews the rapidly growing literature on molecular genetic risk factors for PTSD, including findings from candidate gene and genome-wide association studies. Given the critical role of trauma exposure in the onset of PTSD, it also discusses gene-environment interplay, and highlights some recent findings from epigenetic studies. The chapter concludes by summarizing considerations for the field as it continues to move forward, and discusses exciting new developments in the search for genetic markers for PTSD.

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25

Bianconi, Ginestra. Multilayer Networks. Oxford University Press, 2018. http://dx.doi.org/10.1093/oso/9780198753919.001.0001.

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Multilayer networks are formed by several networks that interact with each other and co-evolve. Multilayer networks include social networks, financial markets, transportation systems, infrastructures and molecular networks and the brain. The multilayer structure of these networks strongly affects the properties of dynamical and stochastic processes defined on them, which can display unexpected characteristics. For example, interdependencies between different networks of a multilayer structure can cause cascades of failure events that can dramatically increase the fragility of these systems; spreading of diseases, opinions and ideas might take advantage of multilayer network topology and spread even when its single layers cannot sustain an epidemic when taken in isolation; diffusion on multilayer transportation networks can significantly speed up with respect to diffusion on single layers; finally, the interplay between multiplexity and controllability of multilayer networks is a problem with major consequences in financial, transportation, molecular biology and brain networks. This field is one of the most prosperous recent developments of Network Science and Data Science. Multilayer networks include multiplex networks, multi-slice temporal networks, networks of networks, interdependent networks. Multilayer networks are characterized by having a highly correlated multilayer network structure, providing a significant advantage for extracting information from them using multilayer network measures and centralities and community detection methods. The multilayer network dynamics (including percolation, epidemic spreading, diffusion, synchronization, game theory and control) is strongly affected by the multilayer network topology. This book will present a comprehensive account of this emerging field.

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