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Time-resolved single-cell transcriptomics defines immune trajectories in glioblastoma
Kirschenbaum D, Xie K, Ingelfinger F, Katzenelenbogen Y, Abadie K, Look T, Sheban F, Phan TS et al.. Cell, 2023-12-21
Topic: Brain proteins, microglia and lab models
Deciphering the cell-state transitions underlying immune adaptation across time is fundamental for advancing biology. Empirical in vivo genomic technologies that capture cellular dynamics are currently lacking. We present Zman-seq, a single-cell technology recording transcriptomic dynamics across time by introducing time stamps into circulating immune cells, tracking them in tissues for days.
Key findings
- Empirical in vivo genomic technologies that capture cellular dynamics are currently lacking.
- We present Zman-seq, a single-cell technology recording transcriptomic dynamics across time by introducing time stamps into circulating immune cells, tracking them in tissues for days.
- Applying Zman-seq resolved cell-state and molecular trajectories of the dysfunctional immune microenvironment in glioblastoma.
- Within 24 hours of tumor infiltration, cytotoxic natural killer cells transitioned to a dysfunctional program regulated by TGFB1 signaling.
Why it matters
This paper presents Zman-seq, a single-cell technology that time-stamps circulating immune cells and tracks them in tissues, and applies it to the immune microenvironment in glioblastoma. It concerns a brain tumour, not Alzheimer's disease, and provides no direct information about treating, curing or preventing Alzheimer's.
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Study details
- Evidence strengthLow
How this study scored 55/100
Published in a peer-reviewed journal. Scored zero for study design, sample size, effect reported, studied in people and randomised / blinded because the record does not state it.
| Component | Points | Why |
|---|---|---|
| Journal tier | 7 / 10 | Tier 3 — peer-reviewed journal (Cell) |
| Journal's citation record | 4 / 4 | Cell: journal h-index 1,220 (OpenAlex, 2026-10-29) |
| Study design | 0 / 12 | No study design recorded — scores zero, not guessed (not stated in the record — scored 0) |
| Strength of evidence | 1 / 5 | Rated “low” in our summary |
| Peer-review validation | 10 / 10 | Peer-reviewed. Published as an article in a named peer-reviewed journal. |
| How recent | 4 / 5 | 2024 — within 3 year(s) of the newest study here |
| Sample size | 0 / 4 | Participant count not stated — scores zero (not stated in the record — scored 0) |
| Effect reported | 0 / 3 | No effect size reported — scores zero (not stated in the record — scored 0) |
| Studied in people | 0 / 3 | Not stated whether this was studied in people — scores zero (not stated in the record — scored 0) |
| Randomised / blinded | 0 / 2 | No randomisation or blinding stated — scores zero (not stated in the record — scored 0) |
| Times cited | 5 / 7 | Cited 214 times (OpenAlex, 2026-10-10) |
| Citations per year | 5 / 5 | 53.5 citations a year over 4 year(s) since 2024 |
| Impact for its field and year | 4 / 6 | Cited 16.1× the average for papers of its field and year (OpenAlex FWCI) |
| Cited by studies here | 0 / 6 | No other study in this library cites it |
| Still being cited | 4 / 4 | Cited 213 times in 2024–2026 (2026 still in progress; OpenAlex) |
| Senior author's track record | 4 / 4 | Last-listed author Ido Amit: h-index 114 (OpenAlex, whole career) |
| Institution's track record | 2 / 3 | University of California, Berkeley: institution h-index 2,012 (OpenAlex) |
| Multi-centre collaboration | 3 / 3 | OpenAlex lists 12 institution(s) in 6 countries |
| Indexed in PubMed | 2 / 2 | Indexed in PubMed (PMID 38134933) |
| Free to read | 0 / 2 | Behind a paywall — scores zero |
| Total | 55 / 100 | — |
What each of these 20 components measures, and what this score is not →
Read the original
Full text: free to read — OpenAlex lists this copy as free to read: the link above (checked 6 Feb 1020).
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Built from the record alzhub holds for this paper, not looked up. Volume, issue and page numbers are not held in the record. The record's author list ends in “et al.”, so not every author is named. Check the citation against the original before you use it.
APA 7th
Kirschenbaum, D., Xie, K., Ingelfinger, F., Katzenelenbogen, Y., Abadie, K., Look, T., et al. (2024). Time-resolved single-cell transcriptomics defines immune trajectories in glioblastoma. Cell. https://doi.org/10.1016/j.cell.2023.11.032
Vancouver
Kirschenbaum D, Xie K, Ingelfinger F, Katzenelenbogen Y, Abadie K, Look T, et al. Time-resolved single-cell transcriptomics defines immune trajectories in glioblastoma. Cell. 2024. doi:10.1016/j.cell.2023.11.032. PMID: 38134933.
BibTeX
@article{kirschenbaum2024-38134933,
author = {Kirschenbaum, D. and Xie, K. and Ingelfinger, F. and Katzenelenbogen, Y. and Abadie, K. and Look, T. and Sheban, F. and Phan, T. S. and others},
title = {{Time-resolved single-cell transcriptomics defines immune trajectories in glioblastoma}},
journal = {Cell},
year = {2024},
doi = {10.1016/j.cell.2023.11.032},
pmid = {38134933},
url = {https://doi.org/10.1016/j.cell.2023.11.032}
}
Studies this one cites
Referenced by this study and also in the alzhub library, so you can read them here.