Evidence map›Paper›PMID 24355300›Full record

ReviewBMB reports2013

Microorganism lipid droplets and biofuel development.

Yingmei Liu, Congyan Zhang, Xipeng Shen, Xuelin Zhang, Simon Cichello, Hongbin Guan, Pingsheng Liu

Open access · goldAbstract readReview
In one paragraph

Review in BMB reports, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

5 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Investigating Evolutionary Dynamics of RHA1 Operons.Evolutionary bioinformatics online · 2016
    Article
  5. 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 2 institutions in 1 country.

Yingmei Liu
Congyan Zhang
Xipeng Shen
Xuelin Zhang
Simon Cichello
Hongbin GuanMarine College, Shandong University at Weihai, 180 Wenhua Xilu, Weihai, Shandong 264209, China guanhongbin@sdu.edu.cn.
Pingsheng LiuNational Laboratory of Biomacromolecules, Institute of Biophysics, Chinese, Academy of Sciences, Beijing 100101, China pliu@ibp.ac.cn.
Chinese Academy of Sciences · CNShandong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lipid droplet (LD) is a cellular organelle that stores neutral lipids as a source of energy and carbon. However, recent research has emerged that the organelle is involved in lipid synthesis, transportation, and metabolism, as well as mediating cellular protein storage and degradation. With the exception of multi-cellular organisms, some unicellular microorganisms have been observed to contain LDs. The organelle has been isolated and characterized from numerous organisms. Triacylglycerol (TAG) accumulation in LDs can be in excess of 50% of the dry weight in some microorganisms, and a maximum of 87% in some instances. These microorganisms include eukaryotes such as yeast and green algae as well as prokaryotes such as bacteria. Some organisms obtain carbon from CO2 via photosynthesis, while the majority utilizes carbon from various types of biomass. Therefore, high TAG content generated by utilizing waste or cheap biomass, coupled with an efficient conversion rate, present these organisms as bio-tech 'factories' to produce biodiesel. This review summarizes LD research in these organisms and provides useful information for further LD biological research and microorganism biodiesel development.

Indexed as

BiofuelsBacteriaBiomassChlorophytaCytoplasmic VesiclesLipid MetabolismProteomicsSaccharomyces cerevisiaeTriglyceridesBiofuelsTriglycerides

Identifiers

PMID24355300
PMCPMC4133864
OpenAlexW2128925440

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.