Determination of variations in gene expression during fracture healing.
The genetic make-up and physiological state of a cell or tissue in an organism interact to determine the level at which specific genes are expressed. Identifying genes differentially expressed between 2 genetic or physiological states often gives insight into the molecular mechanisms controlled by t...
| Publicado en: | Acta Orthopaedica Scandinavica Vol. 74; no. 1; pp. 22 - 23 |
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| Autores principales: | , |
| Formato: | research Journal Article |
| Publicado: |
Taylor & Francis Ltd
Feb2003
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=106099786&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 106099786 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 00016470 1XH jtl: Acta Orthopaedica Scandinavica issn: 00016470 maglogo: Y pubinfo: dt: Feb2003 vid: 74 iid: 1 pid: 377 pub: Taylor & Francis Ltd place: Philadelphia, Pennsylvania artinfo: ui: 106099786 2009458515 10.1080/00016470310013608 NLM12635788 106099786 ppf: 22 ppct: 1 formats: fmt: @attributes: type: P tig: atl: Determination of variations in gene expression during fracture healing. aug: au: Balaburski G O'connor JP sug: subj: Fracture Healing Animal Studies DNA Probes Gene Expression Male Rats Reverse Transcriptase Polymerase Chain Reaction Sample Size Male ab: The genetic make-up and physiological state of a cell or tissue in an organism interact to determine the level at which specific genes are expressed. Identifying genes differentially expressed between 2 genetic or physiological states often gives insight into the molecular mechanisms controlled by the process in question. Various methods have been devised to identify differentially expressed genes and to quantify the expression of differentially regulated genes at the RNA or protein level. These methods are most accurate when the experimental samples are derived from highly controlled and reproducible sources, such as cultured cells. However, no simple in vitro models have been developed to study all biological processes and some are still best studied in the context of the whole organism. Using bone fracture healing as a model, we quantified the expression of 2 housekeeping and 2 regulatory genes during this complex biological process to determine the statistical parameters required to study differential gene expression in tissue samples derived from entire organisms. Our analysis shows that 5 samples in each group are needed to identify genes differentially expressed by a factor of 3 between 2 physiological or genetic states. pubtype: Academic Journal doctype: research Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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