000 03408nam a22005055i 4500
001 978-3-319-25670-2
003 DE-He213
005 20200420221247.0
007 cr nn 008mamaa
008 151222s2015 gw | s |||| 0|eng d
020 _a9783319256702
_9978-3-319-25670-2
024 7 _a10.1007/978-3-319-25670-2
_2doi
050 4 _aQH324.2-324.25
072 7 _aPSA
_2bicssc
072 7 _aUB
_2bicssc
072 7 _aCOM014000
_2bisacsh
082 0 4 _a570.285
_223
100 1 _aPavlovic, Mirjana.
_eauthor.
245 1 0 _aBioengineering and Cancer Stem Cell Concept
_h[electronic resource] /
_cby Mirjana Pavlovic, Bela Balint.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2015.
300 _aXIII, 144 p. 54 illus., 2 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aNormal Stem Cell: Entity or State? -- Normal Stem Cells: Biology, Collection/Harvesting, and Ex Vivo Manipulations -- A Concept of Cancer Stem Cells: Entity and Theories -- Cancer Stem Cell Markers: Classification and Their Significance in Cancer Stem Cells -- Epigenetic Mechanisms Involved in Cancer Stem Cell Profiles -- Mitochondrial Respiration of Cancer Stem Cells -- Metabolism in Cancer Stem Cells -- Different Approaches for Anticancer/Antitumor Therapy -- Targeted Cancer Stem Cell Therapy -- Bioengineered CSC Tumors -- Summary on the Role of Bioengineering in the Cancer Stem Cell Paradigm.
520 _aThis book explores the role of cancer stem cells in the diagnosis, treatment, and cure of cancers. This book also tackles novel methodology for cancer stem cell marker identification, cancer stem cell respiration and metabolism, genetic and epigenetic mechanisms including DNA methylation, and mi-RNA assemble. It also emphasizes the role of Bioinformatics techniques, which provide a novel methodology for modeling cancer outcomes. The authors investigate the difference between cancer stem cells and normal stem cells, along with the concept of targeted cancer stem cell therapy. Although the theoretical explanations of cancer stem cell involvement in leukemia and solid cancers are controversial, there is now little doubt that cancer stem cells exist within otherwise heterogeneous cancer cell population. The brief examines the two leading theories, hierarchical and the stochastic/cancer stem cell model. Researchers, professors and advanced-level students focused on bioengineering and computer science will find this book to be a valuable resource. It is a very good source of critical references for understanding of this problem, and a useful tool for professionals in related fields.
650 0 _aComputer science.
650 0 _aCancer research.
650 0 _aBioinformatics.
650 0 _aStem cells.
650 1 4 _aComputer Science.
650 2 4 _aComputational Biology/Bioinformatics.
650 2 4 _aBioinformatics.
650 2 4 _aStem Cells.
650 2 4 _aCancer Research.
700 1 _aBalint, Bela.
_eauthor.
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9783319256689
856 4 0 _uhttp://dx.doi.org/10.1007/978-3-319-25670-2
912 _aZDB-2-SCS
942 _cEBK
999 _c52400
_d52400