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Amarjit Saini Division of Clinical Physiology, Department of Laboratory Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
Unit of Clinical Physiology, Karolinska University Hospital, Stockholm, Sweden

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Linda Björkhem-Bergman Division of Clinical Geriatrics, Departments of Neurobiology, Care Sciences and Neurobiology, Karolinska Institutet, Stockholm, Sweden

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Johan Boström Division of Clinical Physiology, Department of Laboratory Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
Unit of Clinical Physiology, Karolinska University Hospital, Stockholm, Sweden

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Mats Lilja Division of Clinical Physiology, Department of Laboratory Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
Unit of Clinical Physiology, Karolinska University Hospital, Stockholm, Sweden

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Michael Melin Division of Clinical Physiology, Department of Laboratory Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
Unit of Clinical Physiology, Karolinska University Hospital, Stockholm, Sweden
Unit of Cardiology, Karolinska University Hospital, Stockholm, Sweden

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Karl Olsson Division of Clinical Physiology, Department of Laboratory Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
Unit of Clinical Physiology, Karolinska University Hospital, Stockholm, Sweden

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Lena Ekström Division of Clinical Pharmacology, Department of Laboratory Medicine, Karolinska Institutet, Stockholm, Sweden

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Peter Bergman Division of Clinical Microbiology, Department of Laboratory Medicine, Karolinska Institutet, Stockholm, Sweden

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Mikael Altun Division of Clinical Physiology, Department of Laboratory Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
Unit of Clinical Physiology, Karolinska University Hospital, Stockholm, Sweden

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Eric Rullman Division of Clinical Physiology, Department of Laboratory Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
Unit of Clinical Physiology, Karolinska University Hospital, Stockholm, Sweden
Unit of Cardiology, Karolinska University Hospital, Stockholm, Sweden

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Thomas Gustafsson Division of Clinical Physiology, Department of Laboratory Medicine, Karolinska Institutet, Karolinska University Hospital, Stockholm, Sweden
Unit of Clinical Physiology, Karolinska University Hospital, Stockholm, Sweden

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primary human myoblasts should be less pronounced with the CC genotype, as a consequence of altered vitamin D-regulated molecular signalling. By analysing the cellular response in relation to altered gene expression using RNA sequencing (RNA-seq), we also

Article Type:
Research Article
DOI:
https://doi.org/10.1530/EC-19-0194
Volume/Issue:
Volume 8: Issue 7
Open access
Qian Wang Department of Thyroid and Neck Surgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China

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Jiacheng Wang Department of Thyroid and Neck Surgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China

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Yunhui Xin Department of Thyroid and Neck Surgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China

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Ziyang He Department of Thyroid and Neck Surgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China

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Xiang Zhou Department of Pathology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China

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Xing Liu Department of Thyroid and Neck Surgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China

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Teng Zhao Department of Thyroid and Neck Surgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China

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Lihan He Department of Thyroid and Neck Surgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China

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Hong Shen Department of Thyroid and Neck Surgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China

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Mulan Jin Department of Pathology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China

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Bojun Wei Department of Thyroid and Neck Surgery, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China

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with PC and three tissue specimens from three patients with PA were used for high-throughput circular RNA sequencing. All three patients with PC underwent their first operation in other institutions and were pathologically diagnosed with PC before

Article Type:
Research Article
Collections:
Bone and Mineral Metabolism
DOI:
https://doi.org/10.1530/EC-21-0605
Volume/Issue:
Volume 11: Issue 2
Open access
Huifei Sophia Zheng Department of Anatomy, Physiology and Pharmacology, College of Veterinary Medicine, Auburn University, Auburn, Alabama

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Jeffrey G Daniel Department of Anatomy, Physiology and Pharmacology, College of Veterinary Medicine, Auburn University, Auburn, Alabama

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Julia M Salamat Department of Anatomy, Physiology and Pharmacology, College of Veterinary Medicine, Auburn University, Auburn, Alabama

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Laci Mackay Department of Anatomy, Physiology and Pharmacology, College of Veterinary Medicine, Auburn University, Auburn, Alabama

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Chad D Foradori Department of Anatomy, Physiology and Pharmacology, College of Veterinary Medicine, Auburn University, Auburn, Alabama

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Robert J Kemppainen Department of Anatomy, Physiology and Pharmacology, College of Veterinary Medicine, Auburn University, Auburn, Alabama

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Satyanarayana R Pondugula Department of Anatomy, Physiology and Pharmacology, College of Veterinary Medicine, Auburn University, Auburn, Alabama

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Ya-Xiong Tao Department of Anatomy, Physiology and Pharmacology, College of Veterinary Medicine, Auburn University, Auburn, Alabama

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Chen-Che Jeff Huang Department of Anatomy, Physiology and Pharmacology, College of Veterinary Medicine, Auburn University, Auburn, Alabama

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is not completely elucidated at the genome-wide level. In this study, RNA sequencing (RNA-seq) and downstream bioinformatics analysis were performed to explore the early transcriptional response to Dex exposure in vivo and in vitro . This study

Article Type:
Research Article
Collections:
Adrenal
DOI:
https://doi.org/10.1530/EC-22-0064
Volume/Issue:
Volume 11: Issue 8
Open access
Weiwei He School of Medicine, Xiamen University, Xiamen, China
Xiamen Diabetes Institute, The First Affiliated Hospital of Xiamen University, Xiamen, China
Fujian Provincial Key Laboratory of Translational Medicine for Diabetes, Xiamen, China

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Caoxin Huang Xiamen Diabetes Institute, The First Affiliated Hospital of Xiamen University, Xiamen, China
Fujian Provincial Key Laboratory of Translational Medicine for Diabetes, Xiamen, China

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Xiulin Shi Xiamen Diabetes Institute, The First Affiliated Hospital of Xiamen University, Xiamen, China
Fujian Provincial Key Laboratory of Translational Medicine for Diabetes, Xiamen, China
Department of Endocrinology and Diabetes, The First Affiliated Hospital of Xiamen University, Xiamen, China

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Menghua Wu School of Medicine, Xiamen University, Xiamen, China
Xiamen Diabetes Institute, The First Affiliated Hospital of Xiamen University, Xiamen, China
Fujian Provincial Key Laboratory of Translational Medicine for Diabetes, Xiamen, China

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Han Li School of Medicine, Xiamen University, Xiamen, China
Xiamen Diabetes Institute, The First Affiliated Hospital of Xiamen University, Xiamen, China
Fujian Provincial Key Laboratory of Translational Medicine for Diabetes, Xiamen, China

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Qiuhong Liu School of Medicine, Xiamen University, Xiamen, China
Xiamen Diabetes Institute, The First Affiliated Hospital of Xiamen University, Xiamen, China
Fujian Provincial Key Laboratory of Translational Medicine for Diabetes, Xiamen, China

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Xiaofang Zhang Xiamen Diabetes Institute, The First Affiliated Hospital of Xiamen University, Xiamen, China
Fujian Provincial Key Laboratory of Translational Medicine for Diabetes, Xiamen, China

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Yan Zhao Xiamen Diabetes Institute, The First Affiliated Hospital of Xiamen University, Xiamen, China
Fujian Provincial Key Laboratory of Translational Medicine for Diabetes, Xiamen, China

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Xuejun Li Xiamen Diabetes Institute, The First Affiliated Hospital of Xiamen University, Xiamen, China
Fujian Provincial Key Laboratory of Translational Medicine for Diabetes, Xiamen, China
Department of Endocrinology and Diabetes, The First Affiliated Hospital of Xiamen University, Xiamen, China
Xiamen Clinical Medical Center for Endocrine and Metabolic Diseases, Xiamen Diabetes Prevention and Treatment Center, Xiamen, China

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) in NASH patients has not been assessed. In this study, we analyzed the single-cell RNA-sequencing (scRNA-seq) data of liver tissues from NASH patients and healthy controls. This study aimed to identify the transcriptomic signature of HSCs during the

Article Type:
Research Article
Collections:
Metabolic Syndrome and Diabetes
DOI:
https://doi.org/10.1530/EC-22-0502
Volume/Issue:
Volume 12: Issue 2
Open access
Lianghui You Women’s Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, China
Institute of Pediatrics, Nanjing Medical University, Nanjing, China

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Yan Wang Women’s Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, China
Institute of Pediatrics, Nanjing Medical University, Nanjing, China

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Yao Gao Department of Endocrinology, Children’s Hospital of Nanjing Medical University, Nanjing, China

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Xingyun Wang Women’s Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, China

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Xianwei Cui Women’s Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, China

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Yanyan Zhang Beijing Chaoyang Distirct Maternal and Child Health Care Hospital, Beijing, China

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Lingxia Pang Women’s Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, China

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Chenbo Ji Women’s Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, China
Institute of Pediatrics, Nanjing Medical University, Nanjing, China

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Xirong Guo Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China

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Xia Chi Women’s Hospital of Nanjing Medical University, Nanjing Maternity and Child Health Care Hospital, Nanjing, China
Institute of Pediatrics, Nanjing Medical University, Nanjing, China

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detected in our RNA-seq. RNA-sequencing has the advantage of quantifying low-abundance miRNAs without prior sequence knowledge ( 51 ), facilitating a more accurate determination and quantification of ‘unknown’ miRNAs expressed in BAT or miRNAs responsive to

Article Type:
Research Article
DOI:
https://doi.org/10.1530/EC-20-0124
Volume/Issue:
Volume 9: Issue 5
Open access
Elisabet Einarsdottir Folkhälsan Institute of Genetics, University of Helsinki, Helsinki, Finland
Molecular Neurology Research Program, University of Helsinki, Helsinki, Finland
Department of Biosciences and Nutrition, Karolinska Institutet, Huddinge, Sweden

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Minna Pekkinen Folkhälsan Institute of Genetics, University of Helsinki, Helsinki, Finland
Children’s Hospital, University of Helsinki and Helsinki University Hospital, Helsinki, Finland

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Kaarel Krjutškov Molecular Neurology Research Program, University of Helsinki, Helsinki, Finland
Competence Centre on Health Technologies, Tartu, Estonia

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Shintaro Katayama Department of Biosciences and Nutrition, Karolinska Institutet, Huddinge, Sweden

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Juha Kere Folkhälsan Institute of Genetics, University of Helsinki, Helsinki, Finland
Molecular Neurology Research Program, University of Helsinki, Helsinki, Finland
Department of Biosciences and Nutrition, Karolinska Institutet, Huddinge, Sweden
School of Basic and Medical Biosciences, King’s College London, Guy’s Hospital, London, United Kingdom

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Outi Mäkitie Folkhälsan Institute of Genetics, University of Helsinki, Helsinki, Finland
Children’s Hospital, University of Helsinki and Helsinki University Hospital, Helsinki, Finland
Department of Molecular Medicine and Surgery and Center for Molecular Medicine, Karolinska Institutet, Stockholm, Sweden
Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden

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Heli Viljakainen Folkhälsan Institute of Genetics, University of Helsinki, Helsinki, Finland
Department of Food and Environmental Sciences, University of Helsinki, Helsinki, Finland

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. This was followed by RNA sequencing using a modified version of the single-cell tagged reverse transcription (STRT) method ( 15 ) described in detail elsewhere ( 16 ). Sequencing The Illumina-compatible library pool was sequenced on four lanes

Article Type:
Research Article
DOI:
https://doi.org/10.1530/EC-18-0537
Volume/Issue:
Volume 8: Issue 5
Open access
June Young Choi Department of Surgery, Seoul National University Bundang Hospital, Seongnam-si, Korea

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Jin Wook Yi Department of Surgery, Seoul National University Hospital and College of Medicine, Seoul, Korea

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Jun Hyup Lee Department of Surgery, Seoul National University Hospital and College of Medicine, Seoul, Korea

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Ra-Yeong Song Department of Surgery, Seoul National University Hospital and College of Medicine, Seoul, Korea

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Hyeongwon Yu Department of Surgery, Seoul National University Bundang Hospital, Seongnam-si, Korea

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Hyungju Kwon Department of Surgery, Seoul National University Hospital and College of Medicine, Seoul, Korea

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Young Jun Chai Department of Surgery, Seoul National University Boramae Hospital, Seoul, Korea

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Su-jin Kim Department of Surgery, Seoul National University Hospital and College of Medicine, Seoul, Korea

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Kyu Eun Lee Department of Surgery, Seoul National University Hospital and College of Medicine, Seoul, Korea

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, somatic mutations and gene expression data derived from RNA sequencing. Pathologic data were re-evaluated using scanned images of the paper-written pathologic documents provided by TCGA-associated hospitals. PTC subtype classification and MACIS scores were

Article Type:
Research Article
DOI:
https://doi.org/10.1530/EC-17-0001
Volume/Issue:
Volume 6: Issue 3
Open access
Stefano Mangiola Bioinformatics Division, Walter and Eliza Hall Institute, Parkville, Victoria, Australia
Department of Surgery, The University of Melbourne, Parkville, Victoria, Australia
Department of Urology, Royal Melbourne Hospital, Parkville, Victoria, Australia

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Ryan Stuchbery Department of Surgery, The University of Melbourne, Parkville, Victoria, Australia

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Patrick McCoy Department of Surgery, The University of Melbourne, Parkville, Victoria, Australia
Department of Urology, Royal Melbourne Hospital, Parkville, Victoria, Australia

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Ken Chow Department of Surgery, The University of Melbourne, Parkville, Victoria, Australia
Department of Urology, Royal Melbourne Hospital, Parkville, Victoria, Australia

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Natalie Kurganovs Department of Surgery, The University of Melbourne, Parkville, Victoria, Australia
Australian Prostate Cancer Research Centre Epworth, Richmond, Victoria, Australia
Ontario Institute for Cancer Research, Toronto, Canada
Princess Margaret Cancer Centre, University Health Network, Toronto, Canada

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Michael Kerger Australian Prostate Cancer Research Centre Epworth, Richmond, Victoria, Australia

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Anthony Papenfuss Bioinformatics Division, Walter and Eliza Hall Institute, Parkville, Victoria, Australia
Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
Department of Medical Biology, University of Melbourne, Melbourne, Victoria, Australia
Sir Peter MacCallum Department of Oncology, University of Melbourne, Melbourne, Victoria, Australia
Department of Mathematics and Statistics, University of Melbourne, Melbourne, Victoria, Australia

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Christopher M Hovens Department of Surgery, The University of Melbourne, Parkville, Victoria, Australia
Department of Urology, Royal Melbourne Hospital, Parkville, Victoria, Australia

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Niall M Corcoran Department of Surgery, The University of Melbourne, Parkville, Victoria, Australia
Department of Urology, Royal Melbourne Hospital, Parkville, Victoria, Australia
Department of Urology, Frankston Hospital, Frankston, Victoria, Australia

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paired-end reads per sample. Data pre-processing and mapping The RNA-sequencing quality for each sample was controlled using the FastQC algorithm ( 25 ). Reads were trimmed for Illumina adapters and low-quality fragments using the Trimmomatic

Article Type:
Research Article
DOI:
https://doi.org/10.1530/EC-19-0029
Volume/Issue:
Volume 8: Issue 5
Open access
Kylie D Rock Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina, USA

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Brian Horman Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina, USA

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Allison L Phillips Nicholas School of the Environment, Duke University, Durham, North Carolina, USA

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Susan L McRitchie NIH Eastern Regional Comprehensive Metabolomics Res. Core, Univ. of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA

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Scott Watson NIH Eastern Regional Comprehensive Metabolomics Res. Core, Univ. of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA

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Jocelin Deese-Spruill NIH Eastern Regional Comprehensive Metabolomics Res. Core, Univ. of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA

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Dereje Jima Center for Human Health and the Environment, North Carolina State University, Raleigh, North Carolina, USA
Bioinformatics Research Center, North Carolina State University, Raleigh, North Carolina, USA

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Susan Sumner NIH Eastern Regional Comprehensive Metabolomics Res. Core, Univ. of North Carolina at Chapel Hill, Chapel Hill, North Carolina, USA
Center for Human Health and the Environment, North Carolina State University, Raleigh, North Carolina, USA

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Heather M Stapleton Nicholas School of the Environment, Duke University, Durham, North Carolina, USA

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Heather B Patisaul Department of Biological Sciences, North Carolina State University, Raleigh, North Carolina, USA
Center for Human Health and the Environment, North Carolina State University, Raleigh, North Carolina, USA

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adipogenesis. To probe these and other possible modes of action including disruption of 5-HT production and placental inflammation, we employed a diverse range of hypothesis-generating (RNA sequencing and untargeted metabolomics) and targeted (quantitative real

Article Type:
Research Article
DOI:
https://doi.org/10.1530/EC-17-0373
Volume/Issue:
Volume 7: Issue 2
Open access
Zherui Fu Department of Emergency, The First People’s Hospital of Xiaoshan District, Xiaoshan Affiliated Hospital of Wenzhou Medical University, Hangzhou, Zhejiang, China

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Yi Lai Department of Emergency, The First People’s Hospital of Xiaoshan District, Xiaoshan Affiliated Hospital of Wenzhou Medical University, Hangzhou, Zhejiang, China

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Qianfei Wang Department of Emergency, The First People’s Hospital of Xiaoshan District, Xiaoshan Affiliated Hospital of Wenzhou Medical University, Hangzhou, Zhejiang, China

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Feng Lin Department of Orthopedics, The First People's Hospital of Xiaoshan District, Xiaoshan Affiliated Hospital of Wenzhou Medical University, Hangzhou, Zhejiang, China

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Jiaping Fang Department of Emergency, The First People’s Hospital of Xiaoshan District, Xiaoshan Affiliated Hospital of Wenzhou Medical University, Hangzhou, Zhejiang, China

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tumor prognosis and requires further study. Using the Cancer Genome Atlas (TCGA) database, we established a correlation between LRG1 and thyroid cancer and analyzed the possibility of using LRG1 to predict the prognosis of thyroid cancer. RNA

Article Type:
Research Article
Collections:
Thyroid
DOI:
https://doi.org/10.1530/EC-23-0418
Volume/Issue:
Volume 13: Issue 1
Open access