Evidence map›Paper›PMID 35717317›Full record

ReviewMolecular neurodegeneration2022

Unraveling protein dynamics to understand the brain - the next molecular frontier.

Kyle D Brewer, Sophia M Shi, Tony Wyss-Coray

Abstract readReview
In one paragraph

Review in Molecular neurodegeneration, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. 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

3 authors.

Kyle D Brewer *ChEM-H, Stanford University, Stanford, CA, USA.
Sophia M Shi *ChEM-H, Stanford University, Stanford, CA, USA.
Tony Wyss-CorayChEM-H, Stanford University, Stanford, CA, USA. twc@stanford.edu.ORCID 0000-0001-5893-0831

Funding

Molecular signature of parabiosisR01AG072255 · NIA · STANFORD UNIVERSITY · PI WYSS-CORAY, TONY · 2021 to 2025
$2.4M
NIA NIH HHS R01 AG072255
6 · The paper itself

Abstract

The technological revolution to measure global gene expression at the single-cell level is currently transforming our knowledge of the brain and neurological diseases, leading from a basic understanding of genetic regulators and risk factors to one of more complex gene interactions and biological pathways. Looking ahead, our next challenge will be the reliable measurement and understanding of proteins. We describe in this review how to apply new, powerful methods of protein labeling, tracking, and detection. Recent developments of these methods now enable researchers to uncover protein mechanisms in vivo that may previously have only been hypothesized. These methods are also useful for discovering new biology because how proteins regulate systemic interactions is not well understood in most cases, such as how they travel through the bloodstream to distal targets or cross the blood-brain barrier. Genetic sequencing of DNA and RNA have enabled many great discoveries in the past 20 years, and now, the protein methods described here are creating a more complete picture of how cells to whole organisms function. It is likely that these developments will generate another transformation in biomedical research and our understanding of the brain and will ultimately allow for patient-specific medicine on a protein level.

Indexed as

BrainProteinsHumansProteinsBioorthogonal labelingBlood–brain barrierMass spectrometryPlasmaProtein labelingProtein trackingProteomics

Identifiers

PMID35717317
PMCPMC9206758

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.