Evidence map›Paper›PMID 39389962›Full record

ArticleScientific data2024

Deep Spectral Library of Mice Retina for Myopia Research: Proteomics Dataset generated by SWATH and DIA-NN.

Ying Hon Sze, Dennis Yan Yin Tse, Bing Zuo, King Kit Li, Qian Zhao, Xiaoyan Jiang, Toshihide Kurihara, Kazuo Tsubota, Thomas Cheun Lam

Abstract readDataset
In one paragraph

Article in Scientific data, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Deletion ofbioRxiv : the preprint server for biology · 2026
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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.

Ying Hon SzeCentre for Myopia Research, School of Optometry, The Hong Kong Polytechnic University, Hung Hom, Hong Kong.ORCID 0000-0002-2724-8968
Dennis Yan Yin TseCentre for Myopia Research, School of Optometry, The Hong Kong Polytechnic University, Hung Hom, Hong Kong.ORCID 0000-0001-7561-9121
Bing ZuoCentre for Myopia Research, School of Optometry, The Hong Kong Polytechnic University, Hung Hom, Hong Kong.
King Kit LiCentre for Myopia Research, School of Optometry, The Hong Kong Polytechnic University, Hung Hom, Hong Kong.
Qian ZhaoState Key Laboratory of Chemical Biology and Drug Discovery, Department of Applied Biology and Chemical Technology, The Hong Kong Polytechnic University, Hung Hom, Hong Kong.ORCID 0000-0003-2244-6516
Xiaoyan JiangDepartment of Ophthalmology, Keio University School of Medicine, Tokyo, Japan.
Toshihide KuriharaDepartment of Ophthalmology, Keio University School of Medicine, Tokyo, Japan.ORCID 0000-0002-5457-2720
Kazuo TsubotaDepartment of Ophthalmology, Keio University School of Medicine, Tokyo, Japan.ORCID 0000-0002-8874-7111
Thomas Cheun LamCentre for Myopia Research, School of Optometry, The Hong Kong Polytechnic University, Hung Hom, Hong Kong. thomas.c.lam@polyu.edu.hk.ORCID 0000-0002-3511-5620

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The retina plays a crucial role in processing and decoding visual information, both in normal development and during myopia progression. Recent advancements have introduced a library-independent approach for data-independent acquisition (DIA) analyses. This study demonstrates deep proteome identification and quantification in individual mice retinas during myopia development, with an average of 6,263 ± 86 unique protein groups. We anticipate that the use of a predicted retinal-specific spectral library combined with the robust quantification achieved within this dataset will contribute to a better understanding of the proteome complexity. Furthermore, a comprehensive mice retinal-specific spectral library was generated, encompassing a total identification of 9,401 protein groups, 70,041 peptides, 95,339 precursors, and 761,868 transitions acquired using SWATH-MS acquisition on a ZenoTOF 7600 mass spectrometer. This dataset surpasses the spectral library generated through high-pH reversed-phase fractionation by data-dependent acquisition (DDA). The data is available via ProteomeXchange with the identifier PXD046983. It will also serve as an indispensable reference for investigations in myopia research and other retinal or neurological diseases.

Indexed as

MyopiaProteomicsRetinaAnimalsMass SpectrometryMiceProteomeProteome

Identifiers

PMID39389962
PMCPMC11467338

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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.