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Critical Reviews™ in Immunology

Publicado 6 números por año

ISSN Imprimir: 1040-8401

ISSN En Línea: 2162-6472

The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) IF: 1.3 To calculate the five year Impact Factor, citations are counted in 2017 to the previous five years and divided by the source items published in the previous five years. 2017 Journal Citation Reports (Clarivate Analytics, 2018) 5-Year IF: 2.6 The Eigenfactor score, developed by Jevin West and Carl Bergstrom at the University of Washington, is a rating of the total importance of a scientific journal. Journals are rated according to the number of incoming citations, with citations from highly ranked journals weighted to make a larger contribution to the eigenfactor than those from poorly ranked journals. Eigenfactor: 0.00079 The Journal Citation Indicator (JCI) is a single measurement of the field-normalized citation impact of journals in the Web of Science Core Collection across disciplines. The key words here are that the metric is normalized and cross-disciplinary. JCI: 0.24 SJR: 0.429 SNIP: 0.287 CiteScore™:: 2.7 H-Index: 81

Indexed in

Flow Cytometric Characterization of Antigen-Specific T Cells Based on RNA and Its Advantages in Detecting Infections and Immunological Disorders

Volumen 36, Edición 5, 2016, pp. 359-378
DOI: 10.1615/CritRevImmunol.2017018316
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SINOPSIS

Fluorescence in situ hybridization coupled with flow cytometry (FISH-Flow) is a highly quantitative, high-throughput platform allowing precise quantification of total mRNA transcripts in single cells. In undiagnosed infections posing a significant health burden worldwide, such as latent tuberculosis or asymptomatic recurrent malaria, an important challenge is to develop accurate diagnostic tools. Antigen-specific T cells create a persistent memory to pathogens, making them useful for diagnosis of infection. Stimulation of memory response initiates T-cell transitions between functional states. Numerous studies have shown that changes in protein levels lag real-time T-cell transitions. However, analysis at the single-cell transcriptional level can determine the differences. FISH-Flow is a powerful tool with which to study the functional states of T-cell subsets and to identify the gene expression profiles of antigen-specific T cells during disease progression. Advances in instrumentation, fluorophores, and FISH methodologies will broaden and deepen the use of FISH-Flow, changing the immunological field by allowing determination of functional immune signatures at the mRNA level and the development of new diagnostic tools.

CITADO POR
  1. Egunov Aleksandr I., Dou Zehua, Karnaushenko Dmitriy D., Hebenstreit Franziska, Kretschmann Nicole, Akgün Katja, Ziemssen Tjalf, Karnaushenko Daniil, Medina‐Sánchez Mariana, Schmidt Oliver G., Impedimetric Microfluidic Sensor‐in‐a‐Tube for Label‐Free Immune Cell Analysis, Small, 17, 5, 2021. Crossref

  2. Franzin Rossana, Stasi Alessandra, Castellano Giuseppe, Gesualdo Loreto, Methods for Characterization of Senescent Circulating and Tumor-Infiltrating T-Cells: An Overview from Multicolor Flow Cytometry to Single-Cell RNA Sequencing, in Cytotoxic T-Cells, 2325, 2021. Crossref

  3. Vidal Mabel, Fraga Marco, Llerena Faryd, Vera Agustín, Hernández Mauricio, Koch Elard, Reyes-López Felipe, Vallejos-Vidal Eva, Cabrera-Vives Guillermo, Nova-Lamperti Estefanía, Analysis of Tumor-Infiltrating T-Cell Transcriptomes Reveal a Unique Genetic Signature across Different Types of Cancer, International Journal of Molecular Sciences, 23, 19, 2022. Crossref

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