Evidence map›Paper›PMID 39416000›Full record

ArticlebioRxiv : the preprint server for biology2024

Reconstructing signaling history of single cells with imaging-based molecular recording.

Kai Hao, Mykel Barrett, Zainalabedin Samadi, Amirhossein Zarezadeh, Yuka McGrath, Amjad Askary

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Kai HaoDepartment of Molecular, Cell and Developmental Biology, University of California, Los Angeles, CA, USA.
Mykel BarrettDepartment of Molecular, Cell and Developmental Biology, University of California, Los Angeles, CA, USA.
Zainalabedin SamadiDepartment of Molecular, Cell and Developmental Biology, University of California, Los Angeles, CA, USA.
Amirhossein ZarezadehDepartment of Molecular, Cell and Developmental Biology, University of California, Los Angeles, CA, USA.
Yuka McGrathDepartment of Molecular, Cell and Developmental Biology, University of California, Los Angeles, CA, USA.
Amjad AskaryDepartment of Molecular, Cell and Developmental Biology, University of California, Los Angeles, CA, USA.ORCID 0000-0002-2913-8498

Funding

Synthetic recording and in situ readout of cell lineage and molecular history in mammalian retinaR00EY031782 · NEI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI ASKARY, AMJAD · 2022 to 2024
$747k
NEI NIH HHS R00 EY031782
6 · The paper itself

Abstract

The intensity and duration of biological signals encode information that allows a few pathways to regulate a wide array of cellular behaviors. Despite the central importance of signaling in biomedical research, our ability to quantify it in individual cells over time remains limited. Here, we introduce INSCRIBE, an approach for reconstructing signaling history in single cells using endpoint fluorescence images. By regulating a CRISPR base editor, INSCRIBE generates mutations in genomic target sequences, at a rate proportional to signaling activity. The number of edits is then recovered through a novel ratiometric readout strategy, from images of two fluorescence channels. We engineered human cell lines for recording WNT and BMP pathway activity, and demonstrated that INSCRIBE faithfully recovers both the intensity and duration of signaling. Further, we used INSCRIBE to study the variability of cellular response to WNT and BMP stimulation, and test whether the magnitude of response is a stable, heritable trait. We found a persistent memory in the BMP pathway. Progeny of cells with higher BMP response levels are likely to respond more strongly to a second BMP stimulation, up to 3 weeks later. Together, our results establish a scalable platform for genetic recording and

Identifiers

PMID39416000
PMCPMC11482953

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.