Evidence map›Paper›PMID 40157364›Full record

ArticleDevelopmental cell2025

ER nests are specialized ER subdomains in Arabidopsis where peroxisomes and lipid droplets form.

Zachary J Wright, Nathan E Tharp, Bonnie Bartel

Abstract read
In one paragraph

Article in Developmental cell, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Building peroxisomes: perspectives on plant peroxins.Biochemical Society transactions · 2026
    Review
  2. Review
  3. Article
  4. Review
  5. Move over endosymbionts, peroxisomes pass electrons too.Biochemical Society transactions · 2025
    Review
  6. Article
  7. 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

3 authors.

Zachary J WrightBiosciences Department, Rice University, Houston, TX 77005, USA.
Nathan E TharpBiosciences Department, Rice University, Houston, TX 77005, USA.
Bonnie BartelBiosciences Department, Rice University, Houston, TX 77005, USA. Electronic address: bartel@rice.edu.

Funding

Peroxisome biogenesis, dynamics, and degradation - Administrative SupplementR35GM130338 · NIGMS · RICE UNIVERSITY · PI Bonnie Bartel · 2019 to 2026
$3.3M
Investigating PEX11 roles in shaping peroxisome architecture and dynamicsF31GM150269 · NIGMS · RICE UNIVERSITY · PI Nathan Tharp · 2024 to 2026
$131k
NIGMS NIH HHS F31 GM150269NIGMS NIH HHS R35 GM130338
6 · The paper itself

Abstract

Organelles are defining features of eukaryotic cells, yet much remains to be learned about organelle biogenesis. Lipid droplets and peroxisomes, which play opposing roles in storing and catabolizing fats, form from a mysterious domain in the endoplasmic reticulum (ER). We used live-cell fluorescence microscopy to visualize peroxisome and lipid droplet biogenesis in young Arabidopsis seedlings, where lipid catabolism is active, and peroxisomes can be unusually large. We found that the ER domains where these organelles are born, which we term ER nests, are complex, dynamic structures that exclude general ER proteins but accumulate other proteins, including lipid biosynthetic enzymes and the COPII component SAR1. Furthermore, ER nests appear to define peroxisome-lipid droplet contact sites. Our findings provide a framework for understanding how these domains form and sort their protein components, illuminate eukaryotic lipid biosynthesis, and elucidate how distinct organelles arise from the ER.

Indexed as

ArabidopsisEndoplasmic ReticulumLipid DropletsPeroxisomesArabidopsis ProteinsLipid MetabolismSeedlingsArabidopsis ProteinsArabidopsis cell biologyendomembrane traffickinglipid dropletorganelle biogenesisperoxisomeRHD3/atlastinSAR1

Identifiers

PMID40157364
PMCPMC12324974

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Registered trials

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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.