Evidence map›Paper›PMID 33346205›Full record

ArticleJournal of visualized experiments : JoVE2020

Cerebellar Regional Dissection for Molecular Analysis.

Katherine A Hamel, Marija Cvetanovic

Open access · greenAbstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.1field-weighted citation impact, top 49% 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

3 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

2 authors at 1 institution in 1 country.

Katherine A HamelDepartment of Neuroscience, University of Minnesota; hamel044@umn.edu.
Marija CvetanovicDepartment of Neuroscience, University of Minnesota.
University of Minnesota · US

Funding

Predoctoral Training of NeuroscientistsT32NS105604 · NINDS · UNIVERSITY OF MINNESOTA · PI A DAVID REDISH · 2018 to 2026
$3.5M
Etiology of cognitive decline in Spinocerebellar ataxia type 1R01NS109077 · NINDS · UNIVERSITY OF MINNESOTA · PI Marija Cvetanovic, TIMOTHY J EBNER · 2020 to 2026
$2.4M
Understanding cellular and molecular mechanisms of neurodegenerationR01NS107387 · NINDS · UNIVERSITY OF MINNESOTA · PI CVETANOVIC, MARIJA · 2018 to 2021
$1.3M
NINDS NIH HHS R01 NS107387NINDS NIH HHS R01 NS109077NINDS NIH HHS T32 NS105604
6 · The paper itself

Abstract

Cerebellum plays an important role in several key functions including control of movement, balance, cognition, reward, and affect. Imaging studies indicate that distinct cerebellar regions contribute to these different functions. Molecular studies examining regional cerebellar differences are lagging as they are mostly done on whole cerebellar extracts thereby masking any distinctions across specific cerebellar regions. Here we describe a technique to reproducibly and quickly dissect four different cerebellar regions: the deep cerebellar nuclei (DCN), anterior and posterior vermal cerebellar cortex, and the cerebellar cortex of the hemispheres. Dissecting out these distinct regions allows for the exploration of molecular mechanisms that may underlie their unique contributions to balance, movement, affect and cognition. This technique may also be used to explore differences in pathological susceptibility of these specific regions across various mouse disease models.

Indexed as

DissectionAnimalsCerebellumFructose-Bisphosphate AldolaseGene Expression RegulationHumansImage Processing, Computer-AssistedMice, Inbred C57BLRNAFructose-Bisphosphate AldolaseRNA

Identifiers

PMID33346205
PMCPMC7871298
OpenAlexW3113068211

What OpenQuestion holds

Textmetadata
LicenceTDM
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.