Evidence map›Paper›PMID 27869821›Full record

ArticleNature2017

Synthetic recording and in situ readout of lineage information in single cells.

Kirsten L Frieda, James M Linton, Sahand Hormoz, Joonhyuk Choi, Ke-Huan K Chow, Zakary S Singer, Mark W Budde, Michael B Elowitz, Long Cai

Abstract read
In one paragraph

Article in Nature, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 226 papers.

0numbers the graph read from it
0cells of the map it votes in
226citing 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

226 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Genomic repeats for single-cell molecular recording.bioRxiv : the preprint server for biology · 2026
    Article
  6. Article
  7. bioRxiv : the preprint server for biology · 2026
    Article
  8. Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Regenerative base editing enables deep lineage recording.bioRxiv : the preprint server for biology · 2026
    Article

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

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Kirsten L FriedaDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, California 91125, USA.
James M LintonDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, California 91125, USA.
Sahand HormozDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, California 91125, USA.
Joonhyuk ChoiDivision of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, California 91125, USA.
Ke-Huan K ChowDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, California 91125, USA.
Zakary S SingerDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, California 91125, USA.
Mark W BuddeDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, California 91125, USA.
Michael B ElowitzDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, California 91125, USA.
Long CaiDivision of Chemistry and Chemical Engineering, California Institute of Technology, Pasadena, California 91125, USA.

Funding

Multiplex RNA imaging in single cells by superresolution microscopy& barcode FISHR01HD075605 · NICHD · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI CAI, LONG, SOMLO, GEORGE NONE · 2012 to 2016
$4.1M
Lineage-based inference of cell state transition dynamics in development and diseaseR00GM118910 · NIGMS · DANA-FARBER CANCER INST · PI HORMOZ, SAHAND · 2017 to 2019
$747k
Lineage-based inference of cell state transition dynamics in development and diseaseK99GM118910 · NIGMS · CALIFORNIA INSTITUTE OF TECHNOLOGY · PI HORMOZ, SAHAND · 2016 to 2016
$90k
NICHD NIH HHS R01 HD075605NIGMS NIH HHS K99 GM118910NIGMS NIH HHS R00 GM118910
6 · The paper itself

Abstract

Reconstructing the lineage relationships and dynamic event histories of individual cells within their native spatial context is a long-standing challenge in biology. Many biological processes of interest occur in optically opaque or physically inaccessible contexts, necessitating approaches other than direct imaging. Here we describe a synthetic system that enables cells to record lineage information and event histories in the genome in a format that can be subsequently read out of single cells in situ. This system, termed memory by engineered mutagenesis with optical in situ readout (MEMOIR), is based on a set of barcoded recording elements termed scratchpads. The state of a given scratchpad can be irreversibly altered by CRISPR/Cas9-based targeted mutagenesis, and later read out in single cells through multiplexed single-molecule RNA fluorescence hybridization (smFISH). Using MEMOIR as a proof of principle, we engineered mouse embryonic stem cells to contain multiple scratchpads and other recording components. In these cells, scratchpads were altered in a progressive and stochastic fashion as the cells proliferated. Analysis of the final states of scratchpads in single cells in situ enabled reconstruction of lineage information from cell colonies. Combining analysis of endogenous gene expression with lineage reconstruction in the same cells further allowed inference of the dynamic rates at which embryonic stem cells switch between two gene expression states. Finally, using simulations, we show how parallel MEMOIR systems operating in the same cell could enable recording and readout of dynamic cellular event histories. MEMOIR thus provides a versatile platform for information recording and in situ, single-cell readout across diverse biological systems.

Indexed as

Cell LineageAnimalsCell ProliferationComputer SimulationCRISPR-Cas SystemsGene Expression ProfilingIn Situ Hybridization, FluorescenceMiceMouse Embryonic Stem CellsMutagenesisRNASingle-Cell AnalysisSingle Molecule ImagingRNA

Identifiers

PMID27869821
PMCPMC6487260

What Socratic 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 Socratic graph.