Evidence map›Paper›PMID 34218059›Full record

ReviewCurrent opinion in chemical biology2021

Engineering the bilayer: Emerging genetic tool kits for mechanistic lipid biology.

William M Moore, Daniel Milshteyn, Yi-Ting Tsai, Itay Budin

Abstract readReview
In one paragraph

Review in Current opinion in chemical biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Synthetic Lipid Biology.Chemical reviews · 2025
    Review
  3. Article
  4. Review
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

4 authors.

William M MooreDepartment of Chemistry & Biochemistry, University of California San Diego, 9500 Gilman Drive, La Jolla, CA, 92093, USA.
Daniel MilshteynDepartment of Chemistry & Biochemistry, University of California San Diego, 9500 Gilman Drive, La Jolla, CA, 92093, USA.
Yi-Ting TsaiDepartment of Chemistry & Biochemistry, University of California San Diego, 9500 Gilman Drive, La Jolla, CA, 92093, USA.
Itay BudinDepartment of Chemistry & Biochemistry, University of California San Diego, 9500 Gilman Drive, La Jolla, CA, 92093, USA. Electronic address: ibudin@ucsd.edu.

Funding

Lipidic drivers of organelle function and dysregulationR35GM142960 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI Itay Budin · 2021 to 2026
$4.3M
NIGMS NIH HHS R35 GM142960
6 · The paper itself

Abstract

The structural diversity of lipids underpins the biophysical properties of cellular membranes, which vary across all scales of biological organization. Because lipid composition results from complex metabolic and transport pathways, its experimental control has been a major goal of mechanistic membrane biology. Here, we argue that in the wake of synthetic biology, similar metabolic engineering strategies can be applied to control the composition, physicochemical properties, and function of cell membranes. In one emerging area, titratable expression platforms allow for specific and genome-wide alterations in lipid biosynthetic genes, providing analog control over lipidome stoichiometry in membranes. Simultaneously, heterologous expression of biosynthetic genes and pathways has allowed for gain-of-function experiments with diverse lipids in non-native systems. Finally, we highlight future directions for tool development, including recently discovered lipid transport pathways to intracellular lipid pools. Further tool development providing synthetic control of membrane properties can allow biologists to untangle membrane lipid structure-associated functions.

Indexed as

Lipid BilayersSynthetic BiologyCell MembraneMetabolic EngineeringLipid BilayersLipidsMembranesMetabolic engineeringSynthetic biology

Identifiers

PMID34218059
PMCPMC12066147

What OpenQuestion holds

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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.