Back

Spike-in probe-enhanced single-cell RNA-seq reveals post-infusion transcriptomic remodeling of "prime-and-kill" synNotch-CAR-T cells

Nejo, T.; Watchmaker, P. B.; Simic, M. S.; Yamamichi, A.; Lakshmanachetty, S.; Zhao, A.; Lu, J.; Gallus, M.; Benway, H. L.; Zhu, R.; Almeida, R.; Lim, W. A.; Okada, H.

2026-03-29 cancer biology
10.64898/2026.03.26.713760 bioRxiv
Show abstract

We previously developed synthetic Notch (synNotch)-chimeric antigen receptor (CAR)-T cells to improve the safety and efficacy of CAR-T therapy for glioblastoma. In this system, an anti-EphA2/IL13R2-dual-CAR is expressed only upon recognition of tumor- or brain-specific "priming" antigens, EGFRvIII (termed E-SYNC cells) or brevican (B-SYNC), respectively, with E-SYNC currently under phase I clinical evaluation (NCT06186401). However, tracking and profiling these engineered cells in vivo remain challenging, limiting our understanding of their activity and therapeutic potential. To address this gap, we developed a single-cell RNA-sequencing (scRNA-seq) workflow with custom spike-in probes for synNotch-CAR transcripts, enabling simultaneous detection of engineered cells and transcriptomic profiling. In vitro, integration of multiple probes using machine-learning-assisted classifiers detected 78.2% of E-SYNC cells and 60.0% of B-SYNC cells with 98.0% specificity. In a xenograft model, synNotch-positive cells were detected across the spleen, lung, and brain, with the highest frequency and most robust priming and activation observed in the brain. Single-cell transcriptomic analyses revealed tissue-specific differentiation programs, including cytotoxicity, proliferation, metabolic activity, and acquisition of tissue-resident memory phenotypes, shaped by both environmental cues and synNotch-mediated antigen recognition. In summary, this spike-in probe-enhanced scRNA-seq workflow enables robust detection and high-resolution characterization of synNotch-CAR-T cell dynamics and provides a broadly applicable platform for monitoring engineered immune cells in diverse clinical contexts. One Sentence SummaryOur spike-in probe-enhanced single-cell RNA-sequencing method enables analysis of tissue-dependent activation and transcriptional states of synNotch-CAR-T cells, providing a robust and scalable platform for in vivo tracking and transcriptomic profiling of engineered cell therapies.

Matching journals

The top 7 journals account for 50% of the predicted probability mass.

1
Cell Reports Methods
141 papers in training set
Top 0.1%
10.3%
2
Cell Reports Medicine
140 papers in training set
Top 0.1%
10.0%
3
Nature Communications
4913 papers in training set
Top 29%
6.3%
4
Cell Stem Cell
57 papers in training set
Top 0.2%
6.3%
5
Cancer Cell
38 papers in training set
Top 0.2%
6.3%
6
Genome Medicine
154 papers in training set
Top 1%
6.3%
7
Nature Biomedical Engineering
42 papers in training set
Top 0.2%
4.8%
50% of probability mass above
8
Nature Biotechnology
147 papers in training set
Top 2%
4.3%
9
Cell
370 papers in training set
Top 6%
3.6%
10
Science Translational Medicine
111 papers in training set
Top 1%
3.0%
11
Cell Genomics
162 papers in training set
Top 2%
2.6%
12
Nature Cancer
35 papers in training set
Top 0.4%
2.6%
13
Cell Reports
1338 papers in training set
Top 20%
2.3%
14
Nature Methods
336 papers in training set
Top 4%
1.9%
15
Cell Systems
167 papers in training set
Top 6%
1.9%
16
Advanced Science
249 papers in training set
Top 11%
1.7%
17
Molecular Cancer
14 papers in training set
Top 0.3%
1.7%
18
Advanced Materials
53 papers in training set
Top 1%
1.2%
19
ACS Nano
99 papers in training set
Top 3%
1.1%
20
Nucleic Acids Research
1128 papers in training set
Top 14%
1.1%
21
Cancer Discovery
61 papers in training set
Top 2%
0.9%
22
Nature Medicine
117 papers in training set
Top 4%
0.8%
23
Communications Biology
886 papers in training set
Top 22%
0.8%
24
Nature Chemical Biology
104 papers in training set
Top 4%
0.7%
25
eLife
5422 papers in training set
Top 58%
0.7%
26
Nature
575 papers in training set
Top 17%
0.6%