Evidence map›Paper›PMID 31269053›Full record

ArticlePloS one2019

Encoding information in synthetic metabolomes.

Eamonn Kennedy, Christopher E Arcadia, Joseph Geiser, Peter M Weber, Christopher Rose, Brenda M Rubenstein, Jacob K Rosenstein

Abstract read
In one paragraph

Article in PloS one, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. DNA storage: The future direction for medical cold data storage.Synthetic and systems biotechnology · 2025
    Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. The visual story of data storage: From storage properties to user interfaces.Computational and structural biotechnology journal · 2021
    Review
  11. Article
  12. Article
  13. Multicomponent molecular memory.Nature communications · 2020
    Article
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

7 authors.

Eamonn KennedySchool of Engineering, Brown University, Providence, RI, United States of America.
Christopher E ArcadiaSchool of Engineering, Brown University, Providence, RI, United States of America.
Joseph GeiserDepartment of Chemistry, Brown University, Providence, RI, United States of America.
Peter M WeberDepartment of Chemistry, Brown University, Providence, RI, United States of America.
Christopher RoseSchool of Engineering, Brown University, Providence, RI, United States of America.
Brenda M RubensteinDepartment of Chemistry, Brown University, Providence, RI, United States of America.
Jacob K RosensteinSchool of Engineering, Brown University, Providence, RI, United States of America.ORCID 0000-0001-9791-704X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biomolecular information systems offer exciting potential advantages and opportunities to complement conventional semiconductor technologies. Much attention has been paid to information-encoding polymers, but small molecules also play important roles in biochemical information systems. Downstream from DNA, the metabolome is an information-rich molecular system with diverse chemical dimensions which could be harnessed for information storage and processing. As a proof of principle of small-molecule postgenomic data storage, here we demonstrate a workflow for representing abstract data in synthetic mixtures of metabolites. Our approach leverages robotic liquid handling for writing digital information into chemical mixtures, and mass spectrometry for extracting the data. We present several kilobyte-scale image datasets stored in synthetic metabolomes, which can be decoded with accuracy exceeding 99% using multi-mass logistic regression. Cumulatively, >100,000 bits of digital image data was written into metabolomes. These early demonstrations provide insight into some of the benefits and limitations of small-molecule chemical information systems.

Indexed as

Databases, FactualMetabolomeMetabolomics

Identifiers

PMID31269053
PMCPMC6608926

What OpenQuestion holds

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LicenceCC BY
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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.