Characterization of a cDNA encoding a 34-kDa Purkinje neuron protein recognized by sera from patients with paraneoplastic cerebellar degeneration Journal Article


Authors: Furneaux, H. M.; Dropcho, E. J.; Barbut, D.; Chen, Y. T.; Rosenblum, M. K.; Old, L. J.; Posner, J. B.
Article Title: Characterization of a cDNA encoding a 34-kDa Purkinje neuron protein recognized by sera from patients with paraneoplastic cerebellar degeneration
Abstract: Paraneoplastic cerebellar degeneration is a neurological disorder of unknown cause occurring in patients with an identified or occult cancer. An autoimmune etiology is likely since autoantibodies directed against the Purkinje cells of the cerebellum have been found in the serum and cerebrospinal fluid of some patients. Two Purkinje cell-specific antigens are recognized by these autoantibodies, a major antigen of 62 kDa (CDR 62, cerebellar degeneration-related 62-kDa protein) and a minor antigen of 34 kDa (CDR 34). Our previous studies have described the isolation and characterization of a human cerebellar cDNA that encodes an epitope recognized by sera from patients with paraneoplastic cerebellar degeneration. We have now established by two independent methods that this gene is uniquely expressed in Purkinje cells of the cerebellum and corresponds to the minor antigen CDR 34. This antigen is also expressed in tumor tissue from a patient with paraneoplastic cerebellar degeneration.
Keywords: human cell; purkinje cell; tumor antigen; autoimmunity; autopsy; autoantibody; paraneoplastic syndrome; complementary dna; cerebellum degeneration; human; priority journal
Journal Title: Proceedings of the National Academy of Sciences of the United States of America
Volume: 86
Issue: 8
ISSN: 0027-8424
Publisher: National Academy of Sciences  
Date Published: 1989-04-01
Start Page: 2873
End Page: 2877
Language: English
DOI: 10.1073/pnas.86.8.2873
PUBMED: 2649898
PROVIDER: scopus
PMCID: PMC287021
DOI/URL:
Notes: Article -- Export Date: 14 April 2020 -- Source: Scopus
Altmetric
Citation Impact
BMJ Impact Analytics
MSK Authors
  1. Marc Rosenblum
    424 Rosenblum
  2. Jerome B Posner
    211 Posner
  3. Lloyd J Old
    593 Old
  4. Yao-Tseng Chen
    83 Chen