Evidence map›Paper›PMID 30283135›Full record

ArticleNature2018

Transcriptional recording by CRISPR spacer acquisition from RNA.

Florian Schmidt, Mariia Y Cherepkova, Randall J Platt

Abstract read
PubMed Publisher
In one paragraph

Article in Nature, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 84 papers.

0numbers the graph read from it
0cells of the map it votes in
84citing 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

84 citing papers in PubMed.

  1. Article
  2. Review
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  5. Article
  6. Article
  7. Bacteria as living biosensors for DNA.Nature reviews bioengineering · 2026
    Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Review
  15. Article
  16. The lives of cells, recorded.Nature reviews. Genetics · 2025
    Review
  17. Article
  18. Article
  19. Review
  20. Tracking the progeny of bacterial persisters using a CRISPR-based genomic recorder.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article

24 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Florian SchmidtDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
Mariia Y CherepkovaDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland.
Randall J PlattDepartment of Biosystems Science and Engineering, ETH Zurich, Basel, Switzerland. rplatt@ethz.ch.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The ability to record transcriptional events within a cell over time would help to elucidate how molecular events give rise to complex cellular behaviours and states. However, current molecular recording technologies capture only a small set of defined stimuli. Here we use CRISPR spacer acquisition to capture and convert intracellular RNAs into DNA, enabling DNA-based storage of transcriptional information. In Escherichia coli, we show that defined stimuli, such as an RNA virus or arbitrary sequences, as well as complex stimuli, such as oxidative stress, result in quantifiable transcriptional records that are stored within a population of cells. We demonstrate that the transcriptional records enable us to classify and describe complex cellular behaviours and to identify the precise genes that orchestrate differential cellular responses. In the future, CRISPR spacer acquisition-mediated recording of RNA followed by deep sequencing (Record-seq) could be used to reconstruct transcriptional histories that describe complex cell behaviours or pathological states.

Indexed as

High-Throughput Nucleotide SequencingClustered Regularly Interspaced Short Palindromic RepeatsCRISPR-Associated ProteinsCRISPR-Cas SystemsDNAEscherichia coliEubacterialesGenes, BacterialHerbicidesOxidative StressParaquatRNATranscription, GeneticCRISPR-Associated ProteinsDNAHerbicidesParaquatRNA

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.