Evidence map›Paper›PMID 37059915›Full record

ReviewNature protocols2023

Temporally resolved transcriptional recording in E. coli DNA using a Retro-Cascorder.

Sierra K Lear, Santiago C Lopez, Alejandro González-Delgado, Santi Bhattarai-Kline, Seth L Shipman

Open access · greenAbstract readReview
In one paragraph

Review in Nature protocols, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.5field-weighted citation impact, top 18% of its field
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

6 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Toward DNA-Based Recording of Biological Processes.International journal of molecular sciences · 2024
    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

5 authors at 1 institution in 1 country.

Sierra K Lear *Gladstone Institute of Data Science and Biotechnology, San Francisco, CA, USA.ORCID 0000-0002-7410-9688
Santiago C Lopez *Gladstone Institute of Data Science and Biotechnology, San Francisco, CA, USA.
Alejandro González-DelgadoGladstone Institute of Data Science and Biotechnology, San Francisco, CA, USA.ORCID 0000-0002-8357-3204
Santi Bhattarai-KlineGladstone Institute of Data Science and Biotechnology, San Francisco, CA, USA.
Seth L ShipmanGladstone Institute of Data Science and Biotechnology, San Francisco, CA, USA. seth.shipman@gladstone.ucsf.edu.
Gladstone Institutes · US

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

Biological signals occur over time in living cells. Yet most current approaches to interrogate biology, particularly gene expression, use destructive techniques that quantify signals only at a single point in time. A recent technological advance, termed the Retro-Cascorder, overcomes this limitation by molecularly logging a record of gene expression events in a temporally organized genomic ledger. The Retro-Cascorder works by converting a transcriptional event into a DNA barcode using a retron reverse transcriptase and then storing that event in a unidirectionally expanding clustered regularly interspaced short palindromic repeats (CRISPR) array via acquisition by CRISPR-Cas integrases. This CRISPR array-based ledger of gene expression can be retrieved at a later point in time by sequencing. Here we describe an implementation of the Retro-Cascorder in which the relative timing of transcriptional events from multiple promoters of interest is recorded chronologically in Escherichia coli populations over multiple days. We detail the molecular components required for this technology, provide a step-by-step guide to generate the recording and retrieve the data by Illumina sequencing, and give instructions for how to use custom software to infer the relative transcriptional timing from the sequencing data. The example recording is generated in 2 d, preparation of sequencing libraries and sequencing can be accomplished in 2-3 d, and analysis of data takes up to several hours. This protocol can be implemented by someone familiar with basic bacterial culture, molecular biology and bioinformatics. Analysis can be minimally run on a personal computer.

Indexed as

DNAEscherichia coliComputational BiologyCRISPR-Cas SystemsGenomicsDNA

Identifiers

PMID37059915
PMCPMC10631475
OpenAlexW4365508781

What OpenQuestion holds

Textmetadata
LicenceTDM
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.