Evidence map›Paper›PMID 38345567›Full record

ArticleDatabase : the journal of biological databases and curation2024

SEPDB: a database of secreted proteins.

Ruiqing Wang, Chao Ren, Tian Gao, Hao Li, Xiaochen Bo, Dahai Zhu, Dan Zhang, Hebing Chen, Yong Zhang

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in Database : the journal of biological databases and curation, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.4field-weighted citation impact, top 12% 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

10 citing papers in PubMed, 10 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Blocking MIF secretion enhances CAR T-cell efficacy against neuroblastoma.European journal of cancer (Oxford, England : 1990) · 2025
    Article
  9. Article
  10. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 2 institutions in 1 country.

Ruiqing Wang
Chao RenInstitute of Health Service and Transfusion Medicine, #27 Taiping Road, Haidian District, Beijing 100850, China.
Tian GaoThe State Key Laboratory of Complex, Severe, and Rare Diseases, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and School of Basic Medicine, Peking Union Medical College, #5 Dong Dan San Tiao, Beijing 100005, China.
Hao LiInstitute of Health Service and Transfusion Medicine, #27 Taiping Road, Haidian District, Beijing 100850, China.
Xiaochen BoInstitute of Health Service and Transfusion Medicine, #27 Taiping Road, Haidian District, Beijing 100850, China.ORCID 0000-0003-1911-7922
Dahai ZhuThe State Key Laboratory of Complex, Severe, and Rare Diseases, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and School of Basic Medicine, Peking Union Medical College, #5 Dong Dan San Tiao, Beijing 100005, China.
Dan ZhangExperimental Center, Shandong University of Traditional Chinese Medicine, Key Laboratory of Traditional Chinese Medicine Classical Theory, Ministry of Education, Shandong University of Traditional Chinese Medicine, #4655 Daxue Road, Changqing District, Jinan, Shandong Province 250355, China.
Hebing ChenInstitute of Health Service and Transfusion Medicine, #27 Taiping Road, Haidian District, Beijing 100850, China.
Yong ZhangThe State Key Laboratory of Complex, Severe, and Rare Diseases, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences and School of Basic Medicine, Peking Union Medical College, #5 Dong Dan San Tiao, Beijing 100005, China.
Shandong University of Traditional Chinese Medicine · CNChinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

Basic Research Projects of the Basic Strengthening Program 2020-JCJQ-ZD-264Basic Research Projects of the Basic Strengthening Program JCJQ-ZD-264Key R&D Program of China 2022YFA0806002National Natural Science Foundation of China 31971080
6 · The paper itself

Abstract

Detecting changes in the dynamics of secreted proteins in serum has been a challenge for proteomics. Enter secreted protein database (SEPDB), an integrated secretory proteomics database offering human, mouse and rat secretory proteomics datasets collected from serum, exosomes and cell culture media. SEPDB compiles secreted protein information from secreted protein database, UniProt and Human Protein Atlas databases to annotate secreted proteomics data based on protein subcellular localization and disease markers. SEPDB integrates the latest predictive modeling techniques to measure deviations in the distribution of signal peptide structures of secreted proteins, extends signal peptide sequence prediction by excluding transmembrane structural domain proteins and updates the validation analysis pipeline for secreted proteins. To establish tissue-specific profiles, we have also created secreted proteomics datasets associated with different human tissues. In addition, we provide information on heterogeneous receptor network organizational relationships, reflective of the complex functional information inherent in the molecular structures of secreted proteins that serve as ligands. Users can take advantage of the Refreshed Search, Analyze, Browse and Download functions of SEPDB, which is available online at https://sysomics.com/SEPDB/. Database URL:  https://sysomics.com/SEPDB/.

Indexed as

ProteinsProteomicsAnimalsDatabases, ProteinHumansMiceProtein Sorting SignalsRatsProteinsProtein Sorting Signals

Identifiers

PMID38345567
PMCPMC10878045
OpenAlexW4391745536

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.