Evidence map›Paper›PMID 31775050›Full record

ArticleCell reports2019

Developmental Rewiring between Cerebellar Climbing Fibers and Purkinje Cells Begins with Positive Feedback Synapse Addition.

Alyssa Michelle Wilson, Richard Schalek, Adi Suissa-Peleg, Thouis R Jones, Seymour Knowles-Barley, Hanspeter Pfister, Jeff William Lichtman

Open access · goldAbstract read
In one paragraph

Article in Cell reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
2.4field-weighted citation impact, top 11% 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

28 citing papers in PubMed, 51 citations in OpenAlex.

  1. Review
  2. Article
  3. mGluR1 signaling is necessary for strengthening winner climbing fiber inputs in the developing mouse cerebellum.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
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  8. Molecular and Anatomical Strengthening of "Winner" Climbing Fiber Synapses in Developing Mouse Purkinje Cells.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  9. Article
  10. A neural algorithm for computing bipartite matchings.Proceedings of the National Academy of Sciences of the United States of America · 2024
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  11. Review
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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

7 authors at 3 institutions in 1 country.

Alyssa Michelle WilsonPrinceton Neuroscience Institute, Princeton University, Princeton, NJ 08540, USA. Electronic address: amw7@princeton.edu.
Richard SchalekCenter for Brain Science, Harvard University, Cambridge, MA 02138, USA.
Adi Suissa-PelegCenter for Brain Science, Harvard University, Cambridge, MA 02138, USA; School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138, USA.
Thouis R JonesBroad Institute, Cambridge, MA 02142, USA.
Seymour Knowles-BarleyVolpara Health Technologies, Wellington 6011, New Zealand.
Hanspeter PfisterSchool of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138, USA.
Jeff William LichtmanDepartment of Molecular and Cellular Biology, Harvard University, Cambridge, MA 02138, USA. Electronic address: jeff@mcb.harvard.edu.
Harvard University · USBroad Institute · USPrinceton University · US

Funding

Zooming into the fish's brain-What is really going on! Connectomics analysis of larval zebrafish.U19NS104653 · NINDS · HARVARD UNIVERSITY · PI Randal Burns, Florian Engert · 2017 to 2026
$39.4M
Res Support CoreP50MH094271 · NIMH · HARVARD UNIVERSITY · PI HENSCH, TAKAO K · 2011 to 2022
$18.6M
High Resolution Connectomics of Mammalian Neural CircuitsR01NS076467 · NINDS · HARVARD UNIVERSITY · PI LICHTMAN, JEFF W, MEISTER, MARKUS · 2011 to 2015
$9.4M
Neural circuits in zebrafish: form, function and plasticityU01NS090449 · NINDS · HARVARD UNIVERSITY · PI CEPKO, CONSTANCE L, ENGERT, FLORIAN · 2014 to 2016
$5.2M
Host and Pathogen Evolution in Lassa FeverDP2OD006514 · OD · HARVARD UNIVERSITY · PI SABETI, PARDIS CHRISTINE · 2010 to 2010
$2.5M
Quantifying Synaptic Reorganization in the Developing Cerebellum Using Serial-Section Scanning Electron Microscopy DataF31NS089223 · NINDS · HARVARD UNIVERSITY · PI WILSON, ALYSSA MICHELLE · 2014 to 2016
$66k
NIH HHS DP2 OD006514NIMH NIH HHS P50 MH094271NINDS NIH HHS F31 NS089223NINDS NIH HHS R01 NS076467NINDS NIH HHS U01 NS090449NINDS NIH HHS U19 NS104653
6 · The paper itself

Abstract

During postnatal development, cerebellar climbing fibers alter their innervation strengths onto supernumerary Purkinje cell targets, generating a one-to-few connectivity pattern in adulthood. To get insight about the processes responsible for this remapping, we reconstructed serial electron microscopy datasets from mice during the first postnatal week. Between days 3 and 7, individual climbing fibers selectively add many synapses onto a subset of Purkinje targets in a positive-feedback manner, without pruning synapses from other targets. Active zone sizes of synapses associated with powerful versus weak inputs are indistinguishable. Changes in synapse number are thus the predominant form of early developmental plasticity. Finally, the numbers of climbing fibers and Purkinje cells in a local region nearly match. Initial over-innervation of Purkinje cells by climbing fibers is therefore economical: the number of axons entering a region is enough to assure that each ultimately retains a postsynaptic target and that none branched there in vain.

Indexed as

AnimalsCerebellumHumansMiceNerve FibersSynapsesaxonal convergenceaxonal divergencecerebellumcircuit developmentclimbing fibersconnectomicsneuromuscular junctionPurkinje cellssynapse eliminationsynapse formation

Identifiers

PMID31775050
PMCPMC6914268
OpenAlexW2989764449

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.