Evidence map›Paper›PMID 36481341›Full record

ReviewCurrent opinion in biotechnology2023

Molecular recording: transcriptional data collection into the genome.

Sierra K Lear, Seth L Shipman

Abstract readReview
In one paragraph

Review in Current opinion in biotechnology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Genomic repeats for single-cell molecular recording.bioRxiv : the preprint server for biology · 2026
    Article
  2. Review
  3. Article
  4. Review
  5. Review
  6. Protein engineering: status report.Protein engineering, design & selection : PEDS · 2026
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Toward DNA-Based Recording of Biological Processes.International journal of molecular sciences · 2024
    Review
  13. Review
  14. Assessing spacer acquisition rates inFrontiers in microbiology · 2024
    Article
  15. Review
  16. Review
  17. Review
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

2 authors.

Sierra K LearGladstone Institute of Data Science and Biotechnology, San Francisco, CA, USA; Graduate Program in Bioengineering, University of California, San Francisco and Berkeley, CA, USA.
Seth L ShipmanGladstone Institute of Data Science and Biotechnology, San Francisco, CA, USA; Department of Bioengineering and Therapeutic Sciences, University of California, San Francisco, CA, USA; Chan Zuckerberg Biohub, San Francisco, CA, USA. Electronic address: seth.shipman@gladstone.ucsf.edu.

Funding

Engineered Mitochondria for Therapeutic Donation and Mitochondrial Genome EditingDP2GM140917 · NIGMS · J. DAVID GLADSTONE INSTITUTES · PI SHIPMAN, SETH LAWLER · 2020 to 2020
$2.8M
NIGMS NIH HHS DP2 GM140917
6 · The paper itself

Abstract

Advances in regenerative medicine depend upon understanding the complex transcriptional choreography that guides cellular development. Transcriptional molecular recorders, tools that record different transcriptional events into the genome of cells, hold promise to elucidate both the intensity and timing of transcriptional activity at single-cell resolution without requiring destructive multitime point assays. These technologies are dependent on DNA writers, which translate transcriptional signals into stable genomic mutations that encode the duration, intensity, and order of transcriptional events. In this review, we highlight recent progress toward more informative and multiplexable transcriptional recording through the use of three different types of DNA writing - recombineering, Cas1-Cas2 acquisition, and prime editing - and the architecture of the genomic data generated.

Indexed as

CRISPR-Cas SystemsDNAData CollectionGene EditingGenomeGenomicsDNA

Identifiers

PMID36481341
PMCPMC10547096

What OpenQuestion holds

Textmetadata
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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.