Evidence map›Paper›PMID 31487154›Full record

ReviewAccounts of chemical research2019

Activity-Based Sensing Methods for Monitoring the Reactive Carbon Species Carbon Monoxide and Formaldehyde in Living Systems.

Jun Ohata, Kevin J Bruemmer, Christopher J Chang

Open access · greenAbstract readReview
In one paragraph

Review in Accounts of chemical research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
5.9field-weighted citation impact, top 3% 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

39 citing papers in PubMed, 134 citations in OpenAlex.

  1. Chemical Biology 2025: Highlights From the Ch/Bi145 Course at Caltech.Chembiochem : a European journal of chemical biology · 2026
    Review
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  7. Review
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  14. Formaldehyde regulatesScience (New York, N.Y.) · 2023
    Article
  15. Article
  16. Article
  17. Review
  18. Review
  19. Article
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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

3 authors at 2 institutions in 1 country.

Jun Ohata
Kevin J Bruemmer
Christopher J ChangORCID 0000-0001-5732-9497
University of California, Berkeley · USHoward Hughes Medical Institute · US

Funding

Training CoreP42ES004705 · NIEHS · UNIVERSITY OF CALIFORNIA BERKELEY · PI MCHALE, CLIONA · 1987 to 2025
$74.6M
Chemical Probes to Study Formaldehyde BiologyR01ES028096 · NIEHS · UNIVERSITY OF CALIFORNIA BERKELEY · PI Christopher J. Chang · 2017 to 2026
$4.1M
NIEHS NIH HHS P42 ES004705NIEHS NIH HHS R01 ES028096
6 · The paper itself

Abstract

Carbon is central to the chemistry of life, and in addition to its fundamental roles as a static component of all major biomolecules spanning proteins, nucleic acids, sugars, and lipids, emerging evidence shows that small and transient carbon-based metabolites, termed reactive carbon species (RCS), are dynamic signaling/stress agents that can influence a variety of biological pathways. Recent examples include the identification of carbon monoxide (CO) as an ion channel blocker and endogenous formaldehyde (FA) as a one-carbon metabolic unit formed from the spontaneous degradation of dietary folate metabolites. These findings motivate the development of analytical tools for transient carbon species that can achieve high specificity and sensitivity to further investigate RCS signaling and stress pathways at the cell, tissue, and whole-organism levels. This Account summarizes work from our laboratory on the development of new chemical tools to monitor two important one-carbon RCS, CO and FA, through activity-based sensing (ABS), where we leverage the unique chemical reactivities of these small and transient analytes, rather than lock-and-key binding considerations, for selective detection. Classic inorganic/organometallic and organic transformations form the basis for this approach. For example, to distinguish CO from other biological diatomics of similar shape and size (e.g., nitric oxide and oxygen), we exploit palladium-mediated carbonylation as a synthetic method for CO sensing. The high selectivity of this carbonylation approach successfully enables imaging of dynamic changes in intracellular CO levels in live cells. Likewise, we apply the aza-Cope reaction for FA detection to provide high selectivity for this one-carbon unit over other larger biological aldehydes that are reactive electrophiles, such as acetaldehyde and methylglyoxal. By relying on an activity-based trigger as a design principle for small-molecule detection, this approach can be generalized to create a toolbox of selective FA imaging reagents, as illustrated by a broad range of FA probes spanning turn-on and ratiometric fluorescence imaging, positron emission tomography imaging, and chemiluminescence imaging modalities. Moreover, these chemical tools have revealed new one-carbon biology through the identification of folate as a dietary source of FA and alcohol dehydrogenase 5 as a target for FA metabolism. Indeed, these selective RCS detection methods have been expanded to a wider array of imaging platforms, such as metal-complex-based time-gated luminescence and materials-based imaging scaffolds (e.g., nanotubes, nanoparticles, and carbon dots), with modalities extending to Raman and Rayleigh scattering readouts. This pursuit of leveraging selective chemical reactivity to develop highly specific ABS probes for imaging of RCS provides not only practical tools for deciphering RCS-dependent biology but also a general design platform for developing ABS probes for a broader range of biological analytes encompassing elements across the periodic table.

Indexed as

Molecular Probe TechniquesAnimalsCarbon MonoxideFormaldehydeHumansCarbon MonoxideFormaldehyde

Identifiers

PMID31487154
PMCPMC7081942
OpenAlexW2971692787

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.