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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Annals of the New Yo...arrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Annals of the New York Academy of Sciences
Article . 1971 . Peer-reviewed
License: Wiley Online Library User Agreement
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HEAVY CHAIN DISEASES*

Authors: B. Frangione; Sheldon M. Cooper; Edward C. Franklin;

HEAVY CHAIN DISEASES*

Abstract

The recent elucidation of the structure of immunoglobulins, and the more precise immunologic and chemical characterization of the proteins produced by patients with proliferative disorders of plasma cells and lymphocytes have led to a clearer understanding of the biosynthetic alterations accompanying them. Consequently, these disorders are now frequently classified on the basis of the products of the neoplastic cells. Thus, multiple myeloma is now defined by the type of proteins produced (G,A,D and E myeloma), and the biosynthetic processes in myeloma and macroglobulinemia are described either as balanced synthesis of heavy (H) and light (L) chains resulting in only a . . .

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Keywords

Myeloma Proteins, Immunogenetics, Humans, Immunoglobulins, Amino Acid Sequence, Peptides, Amino Acid Metabolism, Inborn Errors, Heavy Chain Disease

  • BIP!
    Impact byBIP!
    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    14
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
14
Average
Top 10%
Top 10%
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