| Title |
Profiling T Cell Activation Using Single-Molecule Fluorescence In Situ Hybridization and Flow Cytometry
|
|---|---|
| Published in |
The Journal of Immunology, January 2015
|
| DOI | 10.4049/jimmunol.1401515 |
| Pubmed ID | |
| Authors | |
| Abstract |
Flow cytometric characterization of Ag-specific T cells typically relies on detection of protein analytes. Shifting the analysis to detection of RNA would provide several significant advantages, which we illustrate by developing a new host immunity-based platform for detection of infections. Cytokine mRNAs synthesized in response to ex vivo stimulation with pathogen-specific Ags are detected in T cells with single-molecule fluorescence in situ hybridization followed by flow cytometry. Background from pre-existing in vivo analytes is lower for RNAs than for proteins, allowing greater sensitivity for detection of low-frequency cells. Moreover, mRNA analysis reveals kinetic differences in cytokine expression that are not apparent at the protein level but provide novel insights into gene expression programs expected to define different T cell subsets. The utility of probing immunological memory of infections is demonstrated by detecting T cells that recognize mycobacterial and viral Ags in donors exposed to the respective pathogens. |
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X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | 33% |
| Greece | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 1% |
| Spain | 1 | 1% |
| Unknown | 75 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 22 | 29% |
| Student > Ph. D. Student | 16 | 21% |
| Student > Doctoral Student | 6 | 8% |
| Student > Bachelor | 4 | 5% |
| Student > Master | 4 | 5% |
| Other | 8 | 10% |
| Unknown | 17 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 23 | 30% |
| Biochemistry, Genetics and Molecular Biology | 10 | 13% |
| Immunology and Microbiology | 9 | 12% |
| Medicine and Dentistry | 6 | 8% |
| Engineering | 3 | 4% |
| Other | 9 | 12% |
| Unknown | 17 | 22% |