| Title |
Multicolor Flow Cytometry for the Diagnosis of Primary Immunodeficiency Diseases
|
|---|---|
| Published in |
Journal of Clinical Immunology, June 2017
|
| DOI | 10.1007/s10875-017-0405-7 |
| Pubmed ID | |
| Authors |
Takehiro Takashima, Miko Okamura, Tzu-wen Yeh, Tsubasa Okano, Motoi Yamashita, Keisuke Tanaka, Akihiro Hoshino, Noriko Mitsuiki, Masatoshi Takagi, Eiichi Ishii, Kohsuke Imai, Hirokazu Kanegane, Tomohiro Morio |
| Abstract |
Primary immunodeficiency diseases (PIDDs) are rare inherited diseases that impair the human immune system. We established a multicolor flow cytometric assay to comprehensively evaluate the immune status and immunological characteristics of patients with PIDDs. Fifty-nine normal controls and 75 patients with PIDDs, including X-linked severe combined immunodeficiency (X-SCID), X-linked agammaglobulinemia (XLA), X-linked hyper IgM syndrome (X-HIGM), ataxia telangiectasia (AT), Wiskott-Aldrich syndrome (WAS), hyper IgE syndrome (HIES), and chronic mucocutaneous candidiasis disease (CMCD), were enrolled in this study. Immunophenotyes were evaluated by multicolor flow cytometry using seven different panels that allowed the detection of major leukocyte populations in peripheral blood. Multicolor flow cytometry revealed distinct leukocyte populations and immunological features of patients with X-SCID, XLA, X-HIGM, AT, WAS, HIES, and CMCD. Immunophenotyping by multicolor flow cytometry is useful to evaluate immune status and contributes to the diagnosis and management of patients with PIDDs. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 69 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 14% |
| Researcher | 9 | 13% |
| Student > Master | 8 | 12% |
| Student > Bachelor | 5 | 7% |
| Student > Doctoral Student | 4 | 6% |
| Other | 12 | 17% |
| Unknown | 21 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 20 | 29% |
| Biochemistry, Genetics and Molecular Biology | 11 | 16% |
| Immunology and Microbiology | 7 | 10% |
| Agricultural and Biological Sciences | 4 | 6% |
| Arts and Humanities | 1 | 1% |
| Other | 4 | 6% |
| Unknown | 22 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 July 2017.
All research outputs
#14,940,583
of 22,979,862 outputs
Outputs from Journal of Clinical Immunology
#951
of 1,571 outputs
Outputs of similar age
#188,673
of 317,335 outputs
Outputs of similar age from Journal of Clinical Immunology
#10
of 12 outputs
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