Evidence map›Paper›PMID 24313826›Full record

ArticleAnalytical chemistry2014

Comparing label-free quantitative peptidomics approaches to characterize diurnal variation of peptides in the rat suprachiasmatic nucleus.

Bruce R Southey, Ji Eun Lee, Leonid Zamdborg, Norman Atkins, Jennifer W Mitchell, Mingxi Li, Martha U Gillette, Neil L Kelleher, Jonathan V Sweedler

Open access · bronzeAbstract readComparative Study
In one paragraph

Article in Analytical chemistry, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
2.2field-weighted citation impact, top 14% 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

29 citing papers in PubMed, 45 citations in OpenAlex.

  1. Article
  2. Origins, Technological Advancement, and Applications of Peptidomics.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  3. Quantitative Peptidomics: General Considerations.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  4. Quantitative Peptidomics Using Reductive Methylation of Amines.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  5. Review
  6. Article
  7. Article
  8. Electrophysiology of the Suprachiasmatic Nucleus: Single-Unit Recording.Methods in molecular biology (Clifton, N.J.) · 2022
    Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Circuit development in the master clock network of mammals.The European journal of neuroscience · 2020
    Review
  14. Article
  15. Article
  16. Neuropeptidomics of the Rat Habenular Nuclei.Journal of proteome research · 2018
    Article
  17. Article
  18. Article
  19. Article
  20. Review
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

9 authors at 2 institutions in 1 country.

Bruce R SoutheyDepartment of Animal Sciences, ‡Department of Chemistry, §Institute for Genomic Biology, ∥Neuroscience Program, ⊥Department of Cell and Developmental Biology, and ¶Beckman Institute, University of Illinois at Urbana-Champaign , Urbana, Illinois 61801, United States.
Ji Eun Lee
Leonid Zamdborg
Norman Atkins
Jennifer W Mitchell
Mingxi Li
Martha U Gillette
Neil L Kelleher
Jonathan V Sweedler
University of Illinois Urbana-Champaign · USNorthwestern University · US

Funding

The UIUC Neuroproteomics Center on Cell-Cell SignalingP30DA018310 · NIDA · UNIVERSITY OF ILLINOIS URBANA-CHAMPAIGN · PI NEIL L KELLEHER · 2004 to 2026
$24.9M
Deciphering the Histone Code by Mass Spectrometry and High Dimensional StatisticsF30DA026672 · NIDA · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI ZAMDBORG, LEONID · 2010 to 2012
$140k
NIDA NIH HHS DA018310NIDA NIH HHS DA026672NIDA NIH HHS F30 DA026672NIDA NIH HHS P30 DA018310
6 · The paper itself

Abstract

Mammalian circadian rhythm is maintained by the suprachiasmatic nucleus (SCN) via an intricate set of neuropeptides and other signaling molecules. In this work, peptidomic analyses from two times of day were examined to characterize variation in SCN peptides using three different label-free quantitation approaches: spectral count, spectra index and SIEVE. Of the 448 identified peptides, 207 peptides were analyzed by two label-free methods, spectral count and spectral index. There were 24 peptides with significant (adjusted p-value < 0.01) differential peptide abundances between daytime and nighttime, including multiple peptides derived from secretogranin II, cocaine and amphetamine regulated transcript, and proprotein convertase subtilisin/kexin type 1 inhibitor. Interestingly, more peptides were analyzable and had significantly different abundances between the two time points using the spectral count and spectral index methods than with a prior analysis using the SIEVE method with the same data. The results of this study reveal the importance of using the appropriate data analysis approaches for label-free relative quantitation of peptides. The detection of significant changes in so rich a set of neuropeptides reflects the dynamic nature of the SCN and the number of influences such as feeding behavior on circadian rhythm. Using spectral count and spectral index, peptide level changes are correlated to time of day, suggesting their key role in circadian function.

Indexed as

Circadian RhythmAmino Acid SequenceAnimalsMaleMass SpectrometryMolecular Sequence DataNeuropeptidesRatsRats, Long-EvansSuprachiasmatic NucleusNeuropeptides

Identifiers

PMID24313826
PMCPMC3886391
OpenAlexW2127704287

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.