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Atypical protein kinase C activation drives intestinal glucose excretion in diabetes mellitus

Intestinal glucose excretion is a gut-based mechanism contributing to improved glycemic control after weight-loss surgery. Here, the authors describe a signaling pathway that drives intestinal glucose uptake and luminal excretion, identifying a potential therapeutic target for diabetes and weight loss.

Chan Woo Kang
Zhen-Yu Hong
Cheol Ryong Ku
ResearchOpen Access06 Feb 2026
Nature Communications

P: 1-15
Deep learning algorithm for predicting rapid progression of abdominal aortic aneurysm by integrating CT images and clinical features

Se Jin Oh
Jae-ik Shin
Jae Woong Choi
ResearchOpen Access03 Nov 2025
Scientific Reports

Volume: 15, P: 1-14
Molecular analysis of gastric cancer identifies subtypes associated with distinct clinical outcomes

By using gene expression data, gastric cancer is divided into subtypes associated with distinct molecular alterations and clinical prognosis.

Razvan Cristescu
Jeeyun Lee
Amit Aggarwal
Research20 Apr 2015
Nature Medicine

Volume: 21, P: 449-456
The expression pattern of 19 genes predicts the histology of endometrial carcinoma

Chang Ohk Sung
Insuk Sohn
ResearchOpen Access04 Jun 2014
Scientific Reports

Volume: 4, P: 1-8
Prognostic Impact of Longitudinal Monitoring of Radiomic Features in Patients with Advanced Non-Small Cell Lung Cancer

So Hyeon Bak
Hyunjin Park
Ho Yun Lee
ResearchOpen Access19 Jun 2019
Scientific Reports

Volume: 9, P: 1-9
PRRX1 is a master transcription factor of stromal fibroblasts for myofibroblastic lineage progression

Cancer associated fibroblasts are an important and highly heterogeneous component of the tumor microenvironment. Here the authors identify PRRX1 as a master transcription factor determining a fibroblast lineage with myofibroblastic phenotype, associated with unfavourable prognosis in several cancer types.

Keun-Woo Lee
So-Young Yeo
Seok-Hyung Kim
ResearchOpen Access19 May 2022
Nature Communications

Volume: 13, P: 1-23
Author Correction: Deep learning method for comet segmentation and comet assay image analysis

Yiyu Hong
Hyo‑Jeong Han
Insuk Sohn
Amendments and CorrectionsOpen Access19 Apr 2022
Scientific Reports

Volume: 12, P: 1
Intercellular cross-talk through lineage-specific gap junction of cancer-associated fibroblasts related to stromal fibrosis and prognosis

Seong Ju Cho
Ji-Hye Oh
Chang Ohk Sung
ResearchOpen Access30 Aug 2023
Scientific Reports

Volume: 13, P: 1-12
Prediction of drug–target binding affinity using similarity-based convolutional neural network

Jooyong Shim
Zhen-Yu Hong
Changha Hwang
ResearchOpen Access24 Feb 2021
Scientific Reports

Volume: 11, P: 1-9
Deep learning-based virtual cytokeratin staining of gastric carcinomas to measure tumor–stroma ratio

Yiyu Hong
You Jeong Heo
Kyoung-Mee Kim
ResearchOpen Access28 Sept 2021
Scientific Reports

Volume: 11, P: 1-12
Detection of chromosome structural variation by targeted next-generation sequencing and a deep learning application

Hosub Park
Sung-Min Chun
Chang Ohk Sung
ResearchOpen Access06 Mar 2019
Scientific Reports

Volume: 9, P: 1-9
Deciphering Clinicoradiologic Phenotype for Thymidylate Synthase Expression Status in Patients with Advanced Lung Adenocarcinoma Using a Radiomics Approach

So Won Lee
Hyunjin Park
Myung-Ju Ahn
ResearchOpen Access12 Jun 2018
Scientific Reports

Volume: 8, P: 1-10
Dysregulated miRNA in a cancer-prone environment: A study of gastric non-neoplastic mucosa

Binnari Kim
Jiryeon Jang
Kyoung-Mee Kim
ResearchOpen Access20 Apr 2020
Scientific Reports

Volume: 10, P: 1-9
Deep learning method for comet segmentation and comet assay image analysis

Yiyu Hong
Hyo-Jeong Han
Insuk Sohn
ResearchOpen Access03 Nov 2020
Scientific Reports

Volume: 10, P: 1-12
Spontaneous mutations in the single TTN gene represent high tumor mutation burden

Ji-Hye Oh
Se Jin Jang
Chang Ohk Sung
ResearchOpen Access14 Jan 2020
npj Genomic Medicine

Volume: 5, P: 1-11

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Atypical protein kinase C activation drives intestinal glucose excretion in diabetes mellitus

Deep learning algorithm for predicting rapid progression of abdominal aortic aneurysm by integrating CT images and clinical features

Molecular analysis of gastric cancer identifies subtypes associated with distinct clinical outcomes

The expression pattern of 19 genes predicts the histology of endometrial carcinoma

Prognostic Impact of Longitudinal Monitoring of Radiomic Features in Patients with Advanced Non-Small Cell Lung Cancer

PRRX1 is a master transcription factor of stromal fibroblasts for myofibroblastic lineage progression

Author Correction: Deep learning method for comet segmentation and comet assay image analysis

Intercellular cross-talk through lineage-specific gap junction of cancer-associated fibroblasts related to stromal fibrosis and prognosis

Prediction of drug–target binding affinity using similarity-based convolutional neural network

Deep learning-based virtual cytokeratin staining of gastric carcinomas to measure tumor–stroma ratio

Detection of chromosome structural variation by targeted next-generation sequencing and a deep learning application

Deciphering Clinicoradiologic Phenotype for Thymidylate Synthase Expression Status in Patients with Advanced Lung Adenocarcinoma Using a Radiomics Approach

Dysregulated miRNA in a cancer-prone environment: A study of gastric non-neoplastic mucosa

Deep learning method for comet segmentation and comet assay image analysis

Spontaneous mutations in the single TTN gene represent high tumor mutation burden

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