Evidence map›Paper›PMID 38289128›Full record

ArticleApplied and environmental microbiology2024

Simultaneous glucose and xylose utilization by an

Nicholas A Kaplan, Khondokar Nowshin Islam, Fiona C Kanis, Jack R Verderber, Xin Wang, J Andrew Jones, Mattheos A G Koffas

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Applied and environmental microbiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.8field-weighted citation impact, top 10% 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

3 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
  2. EngineeringSynthetic and systems biotechnology · 2026
    Article
  3. 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 at 3 institutions in 1 country.

Nicholas A Kaplan *Department of Chemical, Paper, and Biomedical Engineering, Miami University, Oxford, Ohio, USA.
Khondokar Nowshin Islam *Department of Microbiology and Cell Science, Institute of Food and Agricultural Sciences, University of Florida, Gainesville, Florida, USA.
Fiona C KanisDepartment of Chemical, Paper, and Biomedical Engineering, Miami University, Oxford, Ohio, USA.
Jack R VerderberDepartment of Chemical, Paper, and Biomedical Engineering, Miami University, Oxford, Ohio, USA.
Xin WangDepartment of Microbiology and Cell Science, Institute of Food and Agricultural Sciences, University of Florida, Gainesville, Florida, USA.
J Andrew JonesDepartment of Chemical, Paper, and Biomedical Engineering, Miami University, Oxford, Ohio, USA.ORCID 0000-0002-9068-2126
Mattheos A G KoffasDepartment of Chemical and Biological Engineering, Rensselaer Polytechnic Institute, Troy, New York, USA.ORCID 0000-0002-1405-0565
Miami University · USUniversity of Florida · USRensselaer Polytechnic Institute · US

Funding

Global Research Laboratory Program NRF-2016K1A1A2912829Miami UniversityUniversity of Florida (UF)
6 · The paper itself

Abstract

As advances are made toward the industrial feasibility of mass-producing biofuels and commodity chemicals with sugar-fermenting microbes, high feedstock costs continue to inhibit commercial application. Hydrolyzed lignocellulosic biomass represents an ideal feedstock for these purposes as it is cheap and prevalent. However, many microbes, including

Indexed as

Catabolite RepressionEscherichia coliCarbonCyclic AMP Receptor ProteinFermentationGlucoseSugarsXyloseCarbonCyclic AMP Receptor ProteinGlucoseSugarsXylosecarbon catabolite repressioncyclic AMP receptor protein (crp*)Escherichia colilignocellulosic biomass

Identifiers

PMID38289128
PMCPMC10880614
OpenAlexW4391349008

What OpenQuestion holds

Textmetadata
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.