Evidence map›Paper›PMID 39427313›Full record

ArticleCell reports2024

A genetic and microscopy toolkit for manipulating and monitoring regeneration in Macrostomum lignano.

R Nelson Hall, Hongquan Li, Chew Chai, Sidney Vermeulen, Robin R Bigasin, Eun Sun Song, Souradeep R Sarkar, Jesse Gibson, Manu Prakash, Andrew Z Fire and 1 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cell reports, 2024. 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
–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

5 citing papers in PubMed.

  1. Article
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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

11 authors.

R Nelson HallDepartment of Bioengineering, Stanford University, Stanford, CA, USA. Electronic address: nh2894@stowers.org.
Hongquan LiDepartment of Electrical Engineering, Stanford University, Stanford, CA, USA.
Chew ChaiDepartment of Bioengineering, Stanford University, Stanford, CA, USA.
Sidney VermeulenDepartment of Genetics, Stanford University School of Medicine, Stanford, CA, USA.
Robin R BigasinDepartment of Bioengineering, Stanford University, Stanford, CA, USA.
Eun Sun SongDepartment of Applied Physics, Stanford University, Stanford, CA, USA.
Souradeep R SarkarDepartment of Bioengineering, Stanford University, Stanford, CA, USA.
Jesse GibsonDepartment of Bioengineering, Stanford University, Stanford, CA, USA.
Manu PrakashDepartment of Bioengineering, Stanford University, Stanford, CA, USA.
Andrew Z FireDepartment of Genetics, Stanford University School of Medicine, Stanford, CA, USA; Department of Pathology, Stanford University School of Medicine, Stanford, CA, USA.
Bo WangDepartment of Bioengineering, Stanford University, Stanford, CA, USA. Electronic address: wangbo@stanford.edu.

Funding

Cellular Response to Genetic ChangeR35GM130366 · NIGMS · STANFORD UNIVERSITY · PI ANDREW Z. FIRE · 2019 to 2026
$4.8M
Comparative systems biology defines regulatory mechanisms in whole-body regenerationR35GM138061 · NIGMS · STANFORD UNIVERSITY · PI Bo Wang · 2020 to 2026
$2.5M
NIGMS NIH HHS R35 GM130366NIGMS NIH HHS R35 GM138061
6 · The paper itself

Abstract

Live imaging of regenerative processes can reveal how animals restore their bodies after injury through a cascade of dynamic cellular events. Here, we present a comprehensive toolkit for live imaging of tissue regeneration in the flatworm Macrostomum lignano, including a high-throughput cloning pipeline, targeted cellular ablation, and advanced microscopy solutions. Using tissue-specific reporter expression, we examine how various structures regenerate. Enabled by a custom luminescence/fluorescence microscope, we overcome intense stress-induced autofluorescence to demonstrate genetic cellular ablation and reveal the limited regenerative capacity of neurons and their essential role during wound healing, contrasting muscle cells' rapid regeneration after ablation. Finally, we build an open-source tracking microscope to continuously image freely moving animals throughout the week-long process of regeneration, quantifying kinetics of wound healing, nerve cord repair, body regeneration, growth, and behavioral recovery. Our findings suggest that nerve cord reconnection is highly robust and proceeds independently of regeneration.

Indexed as

RegenerationAnimalsMicroscopyPlatyhelminthsWound HealingCP: Stem cell researchflatwormslive imagingluminescencenervous systemregenerationtransgenics

Identifiers

PMID39427313
PMCPMC12435804

What OpenQuestion holds

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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.