Evidence map›Paper›PMID 25865768›Full record

ArticleGeobiology2015

Quantitative hopanoid analysis enables robust pattern detection and comparison between laboratories.

C-H Wu, L Kong, M Bialecka-Fornal, S Park, A L Thompson, G Kulkarni, S J Conway, D K Newman

Abstract read
In one paragraph

Article in Geobiology, 2015. 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
–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

6 citing papers in PubMed.

  1. Article
  2. Vitamin BProceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  3. Article
  4. Review
  5. Review
  6. 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

8 authors.

C-H WuDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA.
L KongChemistry Research Laboratory, Department of Chemistry, University of Oxford, Oxford, UK.
M Bialecka-FornalDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA.
S ParkHoward Hughes Medical Institute, Pasadena, CA, USA.
A L ThompsonChemistry Research Laboratory, Department of Chemistry, University of Oxford, Oxford, UK.
G KulkarniDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA.
S J ConwayChemistry Research Laboratory, Department of Chemistry, University of Oxford, Oxford, UK.
D K NewmanDivision of Biology and Biological Engineering, California Institute of Technology, Pasadena, CA, USA.

Funding

Howard Hughes Medical Institute
6 · The paper itself

Abstract

Hopanoids are steroid-like lipids from the isoprenoid family that are produced primarily by bacteria. Hopanes, molecular fossils of hopanoids, offer the potential to provide insight into environmental transitions on the early Earth, if their sources and biological functions can be constrained. Semiquantitative methods for mass spectrometric analysis of hopanoids from cultures and environmental samples have been developed in the last two decades. However, the structural diversity of hopanoids, and possible variability in their ionization efficiencies on different instruments, have thus far precluded robust quantification and hindered comparison of results between laboratories. These ionization inconsistencies give rise to the need to calibrate individual instruments with purified hopanoids to reliably quantify hopanoids. Here, we present new approaches to obtain both purified and synthetic quantification standards. We optimized 2-methylhopanoid production in Rhodopseudomonas palustris TIE-1 and purified 2Me-diplopterol, 2Me-bacteriohopanetetrol (2Me-BHT), and their unmethylated species (diplopterol and BHT). We found that 2-methylation decreases the signal intensity of diplopterol between 2 and 34% depending on the instrument used to detect it, but decreases the BHT signal less than 5%. In addition, 2Me-diplopterol produces 10× higher ion counts than equivalent quantities of 2Me-BHT. Similar deviations were also observed using a flame ionization detector for signal quantification in GC. In LC-MS, however, 2Me-BHT produces 11× higher ion counts than 2Me-diplopterol but only 1.2× higher ion counts than the sterol standard pregnane acetate. To further improve quantification, we synthesized tetradeuterated (D4) diplopterol, a precursor for a variety of hopanoids. LC-MS analysis on a mixture of (D4)-diplopterol and phospholipids showed that under the influence of co-eluted phospholipids, the D4-diplopterol internal standard quantifies diplopterol more accurately than external diplopterol standards. These new quantitative approaches permit meaningful comparisons between studies, allowing more accurate hopanoid pattern detection in both laboratory and environmental samples.

Indexed as

Chemistry Techniques, AnalyticalChromatography, LiquidFlame IonizationMass SpectrometryPentacyclic TriterpenesRhodopseudomonasPentacyclic Triterpenes

Identifiers

PMID25865768
PMCPMC4676935

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.