Evidence map›Paper›PMID 39899469›Full record

ArticleThe Plant cell2025

Enhancing lipid production in plant cells through automated high-throughput genome engineering and phenotyping.

Jia Dong, Seth W Croslow, Stephan T Lane, Daniel C Castro, Jantana Blanford, Shuaizhen Zhou, Kiyoul Park, Steven Burgess, Mike Root, Edgar B Cahoon and 4 more

Abstract read
In one paragraph

Article in The Plant cell, 2025. 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. Review
  2. Review
  3. Article
  4. Article
  5. Plant engineering: advances, bottlenecks, and promise.The Plant journal : for cell and molecular biology · 2025
    Article
  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

14 authors.

Jia DongDepartment of Crop Sciences, College of Agricultural, Consumer and Environmental Sciences, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.ORCID 0000-0002-9961-8446
Seth W CroslowDepartment of Energy Center for Advanced Bioenergy and Bioproducts Innovation, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.ORCID 0009-0001-2360-2472
Stephan T LaneDepartment of Energy Center for Advanced Bioenergy and Bioproducts Innovation, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.ORCID 0000-0001-8041-1579
Daniel C CastroBeckman Institute for Advanced Science and Technology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.ORCID 0000-0002-9127-6242
Jantana BlanfordBiology Department, Brookhaven National Laboratory, Upton, NY 11973, USA.ORCID 0000-0001-8314-9289
Shuaizhen ZhouDepartment of Energy Center for Advanced Bioenergy and Bioproducts Innovation, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.ORCID 0000-0002-7268-4961
Kiyoul ParkCenter for Plant Science Innovation, University of Nebraska-Lincoln, Lincoln, NE 68588, USA.ORCID 0000-0002-0711-0398
Steven BurgessDepartment of Plant Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.ORCID 0000-0003-2353-7794
Mike RootCarl R. Woese Institute for Genomic Biology, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.ORCID 0009-0005-2830-8511
Edgar B CahoonCenter for Plant Science Innovation, University of Nebraska-Lincoln, Lincoln, NE 68588, USA.ORCID 0000-0002-7277-1176
John ShanklinBiology Department, Brookhaven National Laboratory, Upton, NY 11973, USA.ORCID 0000-0002-6774-8043
Jonathan V SweedlerDepartment of Energy Center for Advanced Bioenergy and Bioproducts Innovation, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.ORCID 0000-0003-3107-9922
Huimin ZhaoDepartment of Energy Center for Advanced Bioenergy and Bioproducts Innovation, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.ORCID 0000-0002-9069-6739
Matthew E HudsonDepartment of Crop Sciences, College of Agricultural, Consumer and Environmental Sciences, University of Illinois at Urbana-Champaign, Urbana, IL 61801, USA.ORCID 0000-0002-4737-0936

Funding

Center for Advanced BioenergyU.S. Department of Energy
6 · The paper itself

Abstract

Plant bioengineering is a time-consuming and labor-intensive process with no guarantee of achieving desired traits. Here, we present a fast, automated, scalable, high-throughput pipeline for plant bioengineering (FAST-PB) in maize (Zea mays) and Nicotiana benthamiana. FAST-PB enables genome editing and product characterization by integrating automated biofoundry engineering of callus and protoplast cells with single-cell matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS). We first demonstrated that FAST-PB could streamline Golden Gate cloning, with the capacity to construct 96 vectors in parallel. Using FAST-PB in protoplasts, we found that PEG2050 increased transfection efficiency by over 45%. For proof-of-concept, we established a reporter-gene-free method for CRISPR editing and phenotyping via mutation of high chlorophyll fluorescence 136. We show that diverse lipids were enhanced up to 6-fold using CRISPR activation of lipid controlling genes. In callus cells, an automated transformation platform was employed to regenerate plants with enhanced lipid traits through introducing multigene cassettes. Lastly, FAST-PB enabled high-throughput single-cell lipid profiling by integrating MALDI-MS with the biofoundry, protoplast, and callus cells, differentiating engineered and unengineered cells using single-cell lipidomics. These innovations massively increase the throughput of synthetic biology, genome editing, and metabolic engineering and change what is possible using single-cell metabolomics in plants.

Indexed as

Gene EditingLipidsNicotianaPhenotypeZea maysCRISPR-Cas SystemsGenetic EngineeringGenome, PlantPlant CellsPlants, Genetically ModifiedProtoplastsSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationLipids

Identifiers

PMID39899469
PMCPMC11850301

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.