Evidence map›Paper›PMID 22905695›Full record

ArticleMicrobial cell factories2012

New challenges and opportunities for industrial biotechnology.

Guo-Qiang Chen

Abstract readEditorial
In one paragraph

Article in Microbial cell factories, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Multicriteria evaluation of ethylene glycol assimilation pathways.Journal of industrial microbiology & biotechnology · 2026
    Article
  2. Mathematical Modeling ofInternational journal of molecular sciences · 2025
    Article
  3. Article
  4. Article
  5. Mild Chemical Treatment of Unsorted Urban Food Wastes.Molecules (Basel, Switzerland) · 2023
    Article
  6. Review
  7. Article
  8. Article
  9. Metabolic Potential of Halophilic Filamentous Fungi-Current Perspective.International journal of molecular sciences · 2022
    Review
  10. Review
  11. Insights into the biotechnology potential ofFrontiers in microbiology · 2022
    Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Phototrophic Lactate Utilization byApplied and environmental microbiology · 2019
    Article
  17. Models in the Research Process of Psoriasis.International journal of molecular sciences · 2017
    Review
  18. Review
  19. Review
  20. 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

1 author.

Guo-Qiang ChenMOE Key Lab of Bioinformatics and Systems Biology, Department of Biological Science and Biotechnology, School of Life Sciences, Tsinghua-Peking Center for Life Sciences, Tsinghua University, Beijing, China. chengq@mail.tsinghua.edu.c

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Industrial biotechnology has not developed as fast as expected due to some challenges including the emergences of alternative energy sources, especially shale gas, natural gas hydrate (or gas hydrate) and sand oil et al. The weaknesses of microbial or enzymatic processes compared with the chemical processing also make industrial biotech products less competitive with the chemical ones. However, many opportunities are still there if industrial biotech processes can be as similar as the chemical ones. Taking advantages of the molecular biology and synthetic biology methods as well as changing process patterns, we can develop bioprocesses as competitive as chemical ones, these including the minimized cells, open and continuous fermentation processes et al.

Indexed as

BiotechnologyEnergy-Generating ResourcesIndustryPolyhydroxyalkanoatesPolyhydroxyalkanoates

Identifiers

PMID22905695
PMCPMC3520750

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.