Back

Development of a Surface Programmable Activation Receptor system (SPAR): A living cell biosensor for rapid pathogen detection

Kittle, J. D.; Lwande, J. S.; Williams, M. R.; Brody, R.; Frenchmeyer, M.; Hua, J.; Liang, S.; McQuaide, K.; Mo, M.; Neese, A.; Tang, Y.; Vedamoorthy, S.; Zeng, L.; Zupancic, T.; McBrairty, C.

2019-06-30 bioengineering
10.1101/687426 bioRxiv
Show abstract

Efficient pathogen detection is essential for the successful treatment and prevention of infectious disease; however, current methods are often too time intensive to be clinically relevant in cases requiring immediate intervention. We have developed a Surface Programmable Activation Receptor (SPAR) diagnostic platform comprised of universal biosensor cells engineered for use in combination with custom or commercial antibodies to achieve rapid and sensitive pathogen detection. SPAR cells are stably transfected Jurkat T cells designed to constitutively express a modified T cell mouse Fc{gamma}RI receptor on the cell surface and a high level of the luminescent reporter protein aequorin in the cytoplasm. The modified mFc{gamma}RI-CD3{zeta} receptor protein binds with high affinity to the Fc region of any full-length mouse IgG2a and some IgG2 antibodies: this allows customized target detection via the selection of specific antibodies. T-cell receptor aggregation in response to target antigen binding results in signal transduction which, when amplified via the endogenous T cell signal cascade, triggers the rapid intracellular release of calcium. Increased Ca2+ concentrations activate the expressed reporter protein aequorin resulting in the immediate emission of detectable light. Testing demonstrates the accurate and specific detection of numerous targets including P. aeruginosa, E. coli O111, and E. coli O157. We report that the SPAR biosensor cell platform is a reliable pathogen detection method that enables the rapid identification of bacterial causative agents using standard laboratory instrumentation. The technology lends itself to the development of efficient point-of-care testing and may aid in the implementation of effective and pathogen-specific clinical therapies.

Matching journals

The top 2 journals account for 50% of the predicted probability mass.

1
ACS Sensors
45 papers in training set
Top 0.1%
41.0%
2
Lab on a Chip
88 papers in training set
Top 0.1%
10.9%
50% of probability mass above
3
Biosensors and Bioelectronics
52 papers in training set
Top 0.1%
10.5%
4
Scientific Reports
3102 papers in training set
Top 40%
3.2%
5
ACS Nano
99 papers in training set
Top 1%
2.8%
6
PLOS ONE
4510 papers in training set
Top 49%
2.0%
7
The Analyst
15 papers in training set
Top 0.2%
1.9%
8
Advanced Science
249 papers in training set
Top 10%
1.9%
9
Nature Communications
4913 papers in training set
Top 50%
1.8%
10
ACS Applied Materials & Interfaces
39 papers in training set
Top 0.6%
1.5%
11
ACS Applied Bio Materials
21 papers in training set
Top 0.5%
1.4%
12
ACS Synthetic Biology
256 papers in training set
Top 2%
1.3%
13
Analytical Chemistry
205 papers in training set
Top 2%
1.0%
14
ACS Omega
90 papers in training set
Top 3%
0.9%
15
Bioengineering & Translational Medicine
21 papers in training set
Top 0.7%
0.8%
16
Nano Letters
63 papers in training set
Top 2%
0.8%
17
ACS Central Science
66 papers in training set
Top 2%
0.8%
18
Angewandte Chemie International Edition
81 papers in training set
Top 3%
0.8%
19
Nature Biotechnology
147 papers in training set
Top 7%
0.7%
20
npj Digital Medicine
97 papers in training set
Top 4%
0.7%
21
Frontiers in Cellular and Infection Microbiology
98 papers in training set
Top 6%
0.7%
22
Virus Research
36 papers in training set
Top 1%
0.7%
23
PLOS Neglected Tropical Diseases
378 papers in training set
Top 6%
0.7%
24
PLOS Global Public Health
293 papers in training set
Top 6%
0.7%