Evidence map›Paper›PMID 31341559›Full record

ArticleNano research2019

Reproducible Large-Scale Synthesis of Surface Silanized Nanoparticles as an Enabling Nanoproteomics Platform: Enrichment of the Human Heart Phosphoproteome.

David S Roberts, Bifan Chen, Timothy N Tiambeng, Zhijie Wu, Ying Ge, Song Jin

Abstract read
In one paragraph

Article in Nano research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Review
  6. Top-down proteomics.Nature reviews. Methods primers · 2024
    Article
  7. Review
  8. Article
  9. Article
  10. Review
  11. Novel Strategies to Address the Challenges in Top-Down Proteomics.Journal of the American Society for Mass Spectrometry · 2021
    Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. 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

6 authors.

David S RobertsDepartment of Chemistry, University of Wisconsin-Madison, Wisconsin 53706, USA.
Bifan ChenDepartment of Chemistry, University of Wisconsin-Madison, Wisconsin 53706, USA.
Timothy N TiambengDepartment of Chemistry, University of Wisconsin-Madison, Wisconsin 53706, USA.
Zhijie WuDepartment of Chemistry, University of Wisconsin-Madison, Wisconsin 53706, USA.
Ying GeDepartment of Chemistry, University of Wisconsin-Madison, Wisconsin 53706, USA.
Song JinDepartment of Chemistry, University of Wisconsin-Madison, Wisconsin 53706, USA.

Funding

Chemistry-Biology Interface Training ProgramT32GM008505 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI BLACKWELL, HELEN E. · 1993 to 2023
$9.8M
Enabling Top-Down Proteomics through Materials Chemistry and NanotechnologyR01GM117058 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI GE, YING, JIN, SONG · 2015 to 2023
$2.7M
Ultra High Resolution Mass Spectrometer for Biomedical ResearchS10OD018475 · OD · UNIVERSITY OF WISCONSIN-MADISON · PI GE, YING · 2015 to 2015
$2.0M
MASH Explorer, a Comprehensive Software Environment for Top-Down ProteomicsR01GM125085 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI GE, YING · 2018 to 2021
$1.2M
NIGMS NIH HHS R01 GM117058NIGMS NIH HHS R01 GM125085NIGMS NIH HHS T32 GM008505NIH HHS S10 OD018475
6 · The paper itself

Abstract

A reproducible synthetic strategy was developed for facile large-scale (200 mg) synthesis of surface silanized magnetite (Fe

Indexed as

large-scalemass spectrometrynanoparticlesnanoproteomicsphosphoprotein enrichmentsurface functionalizationtop-down proteomics

Identifiers

PMID31341559
PMCPMC6656398

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.