Evidence map›Paper›PMID 41619017›Full record

ArticleJournal of molecular medicine (Berlin, Germany)2026

DAPL1 is activated by Np63 and GRα and regulates lipid metabolism.

Heung-Seok Bae, Yong-In Kim, DongWook Kim, Ki-Hoan Nam, KyungSook Han, SunJo Kim, SungWon Kwon, Je-Yoel Cho

Abstract read
In one paragraph

Article in Journal of molecular medicine (Berlin, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Heung-Seok BaeDepartment of Biochemistry, College of Veterinary Medicine, BK21 FOUR Future Veterinary Medicine Leading Education and Research Center, Research Institute for Veterinary Science, and, Seoul National University , 1 Gwanak-Ro, Gwanak-Gu, Seoul, 08826, Republic of Korea.
Yong-In KimDepartment of Biochemistry, College of Veterinary Medicine, BK21 FOUR Future Veterinary Medicine Leading Education and Research Center, Research Institute for Veterinary Science, and, Seoul National University , 1 Gwanak-Ro, Gwanak-Gu, Seoul, 08826, Republic of Korea.
DongWook KimDepartment of Biochemistry, College of Veterinary Medicine, BK21 FOUR Future Veterinary Medicine Leading Education and Research Center, Research Institute for Veterinary Science, and, Seoul National University , 1 Gwanak-Ro, Gwanak-Gu, Seoul, 08826, Republic of Korea.
Ki-Hoan NamLaboratory Animal Resource & Research Center (LARRC), KRIBB, Yeongudanji-Ro 30, Cheongju, Chungbuk, 28116, South Korea.
KyungSook HanDepartment of Computer Engineering, Inha University, Incheon, 22212, South Korea.
SunJo KimCollege of Pharmacy, Chonnam National University, Gwangju, 61186, South Korea.
SungWon KwonCollege of Pharmacy, Seoul National University, Seoul, 08826, South Korea.
Je-Yoel ChoDepartment of Biochemistry, College of Veterinary Medicine, BK21 FOUR Future Veterinary Medicine Leading Education and Research Center, Research Institute for Veterinary Science, and, Seoul National University , 1 Gwanak-Ro, Gwanak-Gu, Seoul, 08826, Republic of Korea. jeycho@snu.ac.kr.ORCID http://orcid.org/0000-0003-1030-3577

Funding

Korea Research Institute of Bioscience and Biotechnology KGB1002423National Research Foundation of Korea 2014M3A9D5A01073598
6 · The paper itself

Abstract

Non-small cell lung cancer (NSCLC) accounts for about 80% of all lung cancer occurrences and is divided into largely Adenocarcinoma (LUAD), Squamous cell carcinoma (LUSC), and Large cell carcinoma. In this study, using RNA-seq data between cancer tissues and adjacent normal tissues of 5 LUAD and 4 LUSC patients, we found that a Death associated protein like 1 (DAPL1) was highly expressed in squamous cell carcinoma but not in adenocarcinoma. Through the RNA-seq analysis, we found that lipid metabolic pathway genes Fdft1, Pcyt1a, and Sptlc1 correlate well with DAPL1 level changes in LUSC. We also found that Dapl1 was activated by Np63 and GRα monomer transcription factors. We generated a DAPL1 knockout mouse, which shows body weight and hair color changes, implying the role of DAPL1 in lipid metabolism. Our data show that Np63, GRα transcription factors activate DAPL1, and it is predicted to contribute to cellular acidification by regulating lipid metabolism based on mRNA-seq data and DAPL1 KO mice. KEY MESSAGES: This study uses RNA-seq data between cancer tissues and adjacent normal tissues of 5LUAD and 4LUSC patients. We found that a Death associated protein like 1 (DAPL1) was highly expressed in squamous cell carcinoma but not in adenocarcinoma. We also found that Dapl1 was activated by Np63 and GRα monomer transcription factors. The RNA-seq analysis found that lipid metabolic pathway genes Fdft1, Pcyt1a, and Sptlc1 correlate well with DAPL1 level changes in LUSC. We generated a DAPL1 knockout mice. DAPL1 KO mice were bred at two institutions (KRIBB for phonotypes, and SNU for functions). Interestingly, in KRIBB, DAPL1 KO body weight was lower than WT, and in SNU, DAPL1 KO body weight was higher than WT. In the investigation of mouse chow from the two institutions, differences in choline were noted. When chow with differences only in choline was produced and applied to new DAPL1 KO mice, the same results were obtained. Through RNA-seq data and body weight changes in DAPL1 KO mice, we report that DAPL1 regulates cholesterol, PC, and SM through changes in mRNA of Fdft1, Pcyt1a, and Sptlc1. Our data show that Np63, GRα monomer transcription factors activate DAPL1, and it is predicted to regulate lipid metabolism based on mRNA-seq data and DAPL1 KO mice.

Indexed as

Carcinoma, Non-Small-Cell LungLipid MetabolismLung NeoplasmsTranscription FactorsAnimalsCarcinoma, Squamous CellGene Expression Regulation, NeoplasticHumansMiceMice, KnockoutTranscription FactorsDAPL1Fdft1GRα monomerNp63Pcyt1aSptlc1

Identifiers

PMID41619017
PMCPMC12860865

What OpenQuestion holds

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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.