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Biology and bioinformatics of myeloma cell

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Biology and bioinformatics of myeloma cell. / Abroun, Saeid; Saki, Najmaldin; Fakher, Rahim; Asghari, Farahnaz.

in: Laboratory hematology, Jahrgang 18, Nr. 4, 12.2012, S. 30-41.

Publikationen: SCORING: Beitrag in Fachzeitschrift/Zeitung › SCORING: Zeitschriftenaufsatz › Forschung › Begutachtung

Harvard

Abroun, S, Saki, N, Fakher, R & Asghari, F 2012, 'Biology and bioinformatics of myeloma cell', Laboratory hematology, Jg. 18, Nr. 4, S. 30-41. https://doi.org/10.1532/LH96.11003

APA

Abroun, S., Saki, N., Fakher, R., & Asghari, F. (2012). Biology and bioinformatics of myeloma cell. Laboratory hematology, 18(4), 30-41. https://doi.org/10.1532/LH96.11003

Vancouver

Abroun S, Saki N, Fakher R, Asghari F. Biology and bioinformatics of myeloma cell. Laboratory hematology. 2012 Dez;18(4):30-41. https://doi.org/10.1532/LH96.11003

Bibtex

@article{3fc8f2faecb9411ebaa87453b429820b,
title = "Biology and bioinformatics of myeloma cell",
abstract = "Multiple myeloma (MM) is a plasma cell disorder that occurs in about 10% of all hematologic cancers. The majority of patients (99%) are over 50 years of age when diagnosed. In the bone marrow (BM), stromal and hematopoietic stem cells (HSCs) are responsible for the production of blood cells. Therefore any destruction or/and changes within the BM undesirably impacts a wide range of hematopoiesis, causing diseases and influencing patient survival. In order to establish an effective therapeutic strategy, recognition of the biology and evaluation of bioinformatics models for myeloma cells are necessary to assist in determining suitable methods to cure or prevent disease complications in patients. This review presents the evaluation of molecular and cellular aspects of MM such as genetic translocation, genetic analysis, cell surface marker, transcription factors, and chemokine signaling pathways. It also briefly reviews some of the mechanisms involved in MM in order to develop a better understanding for use in future studies.",
keywords = "Antigens, CD, Biomarkers, Bone Marrow, Computational Biology, Cytokines, Gene Expression Regulation, Neoplastic, Hematopoietic Stem Cells, Humans, Models, Molecular, Multiple Myeloma, Neoplasm Staging, Signal Transduction, Stromal Cells, Transcription Factors, Translocation, Genetic",
author = "Saeid Abroun and Najmaldin Saki and Rahim Fakher and Farahnaz Asghari",
year = "2012",
month = dec,
doi = "10.1532/LH96.11003",
language = "English",
volume = "18",
pages = "30--41",
journal = "Laboratory hematology",
issn = "1080-2924",
publisher = "Carden Jennings Publishing Co. Ltd",
number = "4",

}

RIS

TY - JOUR

T1 - Biology and bioinformatics of myeloma cell

AU - Abroun, Saeid

AU - Saki, Najmaldin

AU - Fakher, Rahim

AU - Asghari, Farahnaz

PY - 2012/12

Y1 - 2012/12

N2 - Multiple myeloma (MM) is a plasma cell disorder that occurs in about 10% of all hematologic cancers. The majority of patients (99%) are over 50 years of age when diagnosed. In the bone marrow (BM), stromal and hematopoietic stem cells (HSCs) are responsible for the production of blood cells. Therefore any destruction or/and changes within the BM undesirably impacts a wide range of hematopoiesis, causing diseases and influencing patient survival. In order to establish an effective therapeutic strategy, recognition of the biology and evaluation of bioinformatics models for myeloma cells are necessary to assist in determining suitable methods to cure or prevent disease complications in patients. This review presents the evaluation of molecular and cellular aspects of MM such as genetic translocation, genetic analysis, cell surface marker, transcription factors, and chemokine signaling pathways. It also briefly reviews some of the mechanisms involved in MM in order to develop a better understanding for use in future studies.

AB - Multiple myeloma (MM) is a plasma cell disorder that occurs in about 10% of all hematologic cancers. The majority of patients (99%) are over 50 years of age when diagnosed. In the bone marrow (BM), stromal and hematopoietic stem cells (HSCs) are responsible for the production of blood cells. Therefore any destruction or/and changes within the BM undesirably impacts a wide range of hematopoiesis, causing diseases and influencing patient survival. In order to establish an effective therapeutic strategy, recognition of the biology and evaluation of bioinformatics models for myeloma cells are necessary to assist in determining suitable methods to cure or prevent disease complications in patients. This review presents the evaluation of molecular and cellular aspects of MM such as genetic translocation, genetic analysis, cell surface marker, transcription factors, and chemokine signaling pathways. It also briefly reviews some of the mechanisms involved in MM in order to develop a better understanding for use in future studies.

KW - Antigens, CD

KW - Biomarkers

KW - Bone Marrow

KW - Computational Biology

KW - Cytokines

KW - Gene Expression Regulation, Neoplastic

KW - Hematopoietic Stem Cells

KW - Humans

KW - Models, Molecular

KW - Multiple Myeloma

KW - Neoplasm Staging

KW - Signal Transduction

KW - Stromal Cells

KW - Transcription Factors

KW - Translocation, Genetic

U2 - 10.1532/LH96.11003

DO - 10.1532/LH96.11003

M3 - SCORING: Journal article

C2 - 23253865

VL - 18

SP - 30

EP - 41

JO - Laboratory hematology

JF - Laboratory hematology

SN - 1080-2924

IS - 4

ER -