Evidence map›Paper›PMID 38549019›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2024

An Updated Guide to the Identification, Quantitation, and Imaging of the Crustacean Neuropeptidome.

Wenxin Wu, Lauren Fields, Kellen DeLaney, Amanda R Buchberger, Lingjun Li

Open access · greenAbstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
5.8field-weighted citation impact, top 6% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. 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

5 authors at 1 institution in 1 country.

Wenxin Wu *Department of Chemistry, University of Wisconsin-Madison, Madison, WI, USA.
Lauren Fields *Department of Chemistry, University of Wisconsin-Madison, Madison, WI, USA.
Kellen DeLaneyDepartment of Chemistry, University of Wisconsin-Madison, Madison, WI, USA.
Amanda R BuchbergerDepartment of Chemistry, University of Wisconsin-Madison, Madison, WI, USA.
Lingjun LiDepartment of Chemistry, University of Wisconsin-Madison, Madison, WI, USA. lingjun.li@wisc.edu.
University of Wisconsin–Madison · US

Funding

Chemistry-Biology Interface Training ProgramT32GM008505 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI BLACKWELL, HELEN E. · 1993 to 2023
$9.8M
STATE DEPENDENT COORDINATION OF RHYTHMIC NEURAL CIRCUITSR01NS029436 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI MICHAEL P NUSBAUM · 1991 to 2026
$7.4M
Mass Spectrometric Studies of Neuropeptides in FeedingR01DK071801 · NIDDK · UNIVERSITY OF WISCONSIN-MADISON · PI LINGJUN LI · 2006 to 2026
$6.7M
Creating a region- specific biomolecular atlas of the brain of Alzheimer’s diseaseR01AG078794 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI LINGJUN LI, Luigi Puglielli · 2022 to 2026
$3.7M
Di-Leu-enabled multiplexed quantitation for biomarker discovery and validation in Alzheimer's diseaseRF1AG052324 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI LI, LINGJUN · 2018 to 2018
$2.4M
Acquisition of a High-Field Dual Source FTICR-MS for Pharmaceutical ResearchS10RR029531 · NCRR · UNIVERSITY OF WISCONSIN-MADISON · PI LI, LINGJUN · 2011 to 2011
$2.1M
Chemistry-Biology Interface Training ProgramT32GM152341 · NIGMS · UNIVERSITY OF WISCONSIN-MADISON · PI Helen E. Blackwell · 2024 to 2026
$1.6M
Acquisition of a Dual-Source, High-Performance, Ion Mobility, Quadrupole Time-of-Flight Mass Spectrometry System for Biomedical Research at UW-MadisonS10OD028473 · OD · UNIVERSITY OF WISCONSIN-MADISON · PI LI, LINGJUN · 2021 to 2021
$1.3M
Acquisition of a High Resolution High Speed MALDI Mass Spectrometer for Biomedical Research at UW-MadisonS10OD025084 · OD · UNIVERSITY OF WISCONSIN-MADISON · PI LI, LINGJUN · 2018 to 2018
$598k
Probing Protein Structural Changes in Alzheimers DiseaseR21AG065728 · NIA · UNIVERSITY OF WISCONSIN-MADISON · PI LI, LINGJUN · 2020 to 2020
$420k
NCRR NIH HHS S10 RR029531NIA NIH HHS R01 AG078794NIA NIH HHS R21 AG065728NIA NIH HHS RF1 AG052324NIDDK NIH HHS R01 DK071801NIGMS NIH HHS T32 GM008505NIGMS NIH HHS T32 GM152341NIH HHS S10 OD025084NIH HHS S10 OD028473NINDS NIH HHS R01 NS029436
6 · The paper itself

Abstract

Crustaceans serve as a useful, simplified model for studying peptides and neuromodulation, as they contain numerous neuropeptide homologs to mammals and enable electrophysiological studies at the single-cell and neural circuit levels. Crustaceans contain well-defined neural networks, including the stomatogastric ganglion, oesophageal ganglion, commissural ganglia, and several neuropeptide-rich organs such as the brain, pericardial organs, and sinus glands. As existing mass spectrometry (MS) methods are not readily amenable to neuropeptide studies, there is a great need for optimized sample preparation, data acquisition, and data analysis methods. Herein, we present a general workflow and detailed methods for MS-based neuropeptidomic analysis of crustacean tissue samples and circulating fluids. In conjunction with profiling, quantitation can also be performed with isotopic or isobaric labeling. Information regarding the localization patterns and changes of peptides can be studied via mass spectrometry imaging. Combining these sample preparation strategies and MS analytical techniques allows for a multi-faceted approach to obtaining deep knowledge of crustacean peptidergic signaling pathways.

Indexed as

NeuropeptidesAnimalsDiagnostic ImagingGangliaMammalsPeptidesSpectrometry, Mass, Matrix-Assisted Laser Desorption-IonizationNeuropeptidesPeptidesCapillary electrophoresisCrustaceanDe novo sequencingDIA-MSIn vivo microdialysisIsotopic/isobaric labelingMALDI mass spectrometry imagingNeuropeptidesPeptidomeQuantitation

Identifiers

PMID38549019
PMCPMC11071638
OpenAlexW4393285660

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.