Literature DB >> 15621116

Quantitative gene expression analysis of fractalkine using laser microdissection in biopsies from kidney allografts with acute rejection.

M C Pietrzyk1, B Banas, K Wolf, P Rümmele, M Woenckhaus, U Hoffmann, B K Krämer, M Fischereder.   

Abstract

Percutaneous biopsy of the kidney remains the gold standard to establish a diagnosis in renal diseases. Only semiquantitative assessments of gene expression on biopsies have been possible so far. We studied gene expression of the chemokine fractalkine (FKN) in 12 biopsies from laser microdissected kidney allografts that showed histologic signs of acute rejection and 10 controls. As quantified by real-time PCR, the relative tubular FKN expression increased from 1.0 [0.81 to 2.95] (median [range]) in controls to 12.44 [0.90 to 191.0] in acute rejection (P < .01); glomerular FKN expression from 1.3 [0.07 to 27.44] to 12.22 [1.32 to 50.23] (P < .05); and vascular expression, from 0.72 [0.37 to 5.11] to 7.07 [1.19 to 73.49] (P < .01). Furthermore, there was a trend toward higher glomerular FKN expression among patients with more severe rejection. Our results suggest a role of FKN in acute renal allograft rejection.

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Year:  2004        PMID: 15621116     DOI: 10.1016/j.transproceed.2004.09.029

Source DB:  PubMed          Journal:  Transplant Proc        ISSN: 0041-1345            Impact factor:   1.066


  3 in total

1.  Constitutive endocytosis of the chemokine CX3CL1 prevents its degradation by cell surface metalloproteases.

Authors:  Yi-Wei Huang; Paul Su; Guang Ying Liu; Min Rui Crow; Deanna Chaukos; Harry Yan; Lisa A Robinson
Journal:  J Biol Chem       Date:  2009-09-01       Impact factor: 5.157

2.  Immunofluorescence laser micro-dissection of specific nephron segments in the mouse kidney allows targeted downstream proteomic analysis.

Authors:  Radmila Micanovic; Shehnaz Khan; Tarek M El-Achkar
Journal:  Physiol Rep       Date:  2015-02-12

3.  Large scale real-time PCR validation on gene expression measurements from two commercial long-oligonucleotide microarrays.

Authors:  Yulei Wang; Catalin Barbacioru; Fiona Hyland; Wenming Xiao; Kathryn L Hunkapiller; Julie Blake; Frances Chan; Carolyn Gonzalez; Lu Zhang; Raymond R Samaha
Journal:  BMC Genomics       Date:  2006-03-21       Impact factor: 3.969

  3 in total

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