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Usage Information

Studies of T- and B-Lymphocytes in Patients with Connective Tissue Diseases
Ralph C. Williams Jr., James R. DeBoard, Ove J. Mellbye, Ronald P. Messner, Folke D. Lindström
Ralph C. Williams Jr., James R. DeBoard, Ove J. Mellbye, Ronald P. Messner, Folke D. Lindström
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Research Article

Studies of T- and B-Lymphocytes in Patients with Connective Tissue Diseases

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Abstract

Peripheral blood lymphocytes from normal subjects as well as patients with rheumatoid arthritis (RA), systemic lupus erythematosus (SLE), and active tuberculosis were studied for the relative distribution of bone marrow-derived lymphocytes (B-cells) and thymic-derived T-cells. B-cells were identified by direct immunofluorescence of surface Ig markers; T-cells were studied using rabbit antisera to pooled human fetal thymocytes absorbed with chronic lymphatic leukemia lymphocytes as a source of B-cells. In normal subjects, the sum of percentages of peripheral blood lymphocytes staining for surface Ig (B-cells) plus the percentage of cells staining with the absorbed antithymocyte antiserum closely approximated 100%. The mean value for percent B-cells among 51 normals tested was 22.9%±7.1; mean T-cells value was 75.3±13.95%. T-cell-specific antiserum stained 18% of normal human bone marrow lymphocytes, 42.5% of lymphocytes from normal spleens, and 98% of cells obtained from thoracic duct drainage of patients with RA. Specificity of antihuman thymocyte antiserum appeared to depend on the use of living cells.

Authors

Ralph C. Williams Jr., James R. DeBoard, Ove J. Mellbye, Ronald P. Messner, Folke D. Lindström

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Usage data is cumulative from June 2025 through June 2026.

Usage JCI PMC
Text version 479 15
PDF 213 14
Scanned page 867 2
Citation downloads 141 0
Totals 1,700 31
Total Views 1,731
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Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.

Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.

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ISSN: 0021-9738 (print), 1558-8238 (online)

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