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Linfei Yang Center for Medical Experiments, The Third Xiangya Hospital, Central South University, Changsha, China

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Xiao Yu Department of General Surgery, The Third Xiangya Hospital, Central South University, Changsha, China

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Yongchao Yang Department of Burns and Plastic Surgery, The Third Xiangya Hospital, Central South University, Changsha, China
European Pancreas Center, Department of General, Visceral and Transplantation Surgery, Heidelberg University Hospital, Heidelberg, Germany

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bioinformatics tools including BLAST and PathCards ( 36 ). To test this hypothesis in pNEN, Western blot was used to detect the expression of ATX following the downregulation of STAT3 expression. As shown in Fig. 3 , in BON1 cells, the siRNA

Article Type:
Research Article
DOI:
https://doi.org/10.1530/EC-18-0356
Volume/Issue:
Volume 7: Issue 12
Open access
Yardena Tenenbaum-Rakover Pediatric Endocrine Institute, Ha'Emek Medical Center, Afula, Israel
The Rappaport Faculty of Medicine, Technion, Haifa, Israel

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Osnat Admoni Pediatric Endocrine Institute, Ha'Emek Medical Center, Afula, Israel

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Ghadir Elias-Assad Pediatric Endocrine Institute, Ha'Emek Medical Center, Afula, Israel
The Rappaport Faculty of Medicine, Technion, Haifa, Israel

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Shira London Pediatric Endocrine Institute, Ha'Emek Medical Center, Afula, Israel

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Marie Noufi-Barhoum Pediatric Endocrine Institute, Ha'Emek Medical Center, Afula, Israel
The Azrieli Faculty of Medicine, Bar-Ilan, Safed, Israel

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Hanna Ludar Pediatric Endocrine Institute, Ha'Emek Medical Center, Afula, Israel

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Tal Almagor Pediatric Endocrine Institute, Ha'Emek Medical Center, Afula, Israel

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Yoav Zehavi Pediatric Department, B, Ha’Emek Medical Center, Afula, Israel

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Charles Sultan Pediatric Endocrinology and Gynecology Unit, CHU de Montpellier, Hôpital Arnaud de Villeneuve et Université Montpellier, Montpellier, France

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Rita Bertalan Institute Pasteur, Rue Dr Roux, Paris, France

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Anu Bashamboo Institute Pasteur, Rue Dr Roux, Paris, France

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Kenneth McElreavey Institute Pasteur, Rue Dr Roux, Paris, France

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the etiology of DSD in 78% of the cohort, 22% of the patients still remained with no diagnosis. Future directions to improve the accuracy of DSD diagnosis, might include using whole-genome sequencing, and improving bioinformatics methods by using

Article Type:
Research Article
DOI:
https://doi.org/10.1530/EC-21-0019
Volume/Issue:
Volume 10: Issue 6
Open access
Ivar Følling Department of Endocrinology, Akershus University Hospital, Lørenskog, Norway
Institute of Clinical Medicine, University of Oslo, Oslo, Norway
Department of Clinical Molecular Biology, University of Oslo and Akershus University Hospital, Lørenskog, Norway

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Anna B Wennerstrøm Department of Clinical Molecular Biology, University of Oslo and Akershus University Hospital, Lørenskog, Norway

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Tor J Eide Division of Laboratory Medicine, Department of Pathology, Oslo University Hospital, Oslo, Norway

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Hilde Loge Nilsen Institute of Clinical Medicine, University of Oslo, Oslo, Norway
Department of Clinical Molecular Biology, University of Oslo and Akershus University Hospital, Lørenskog, Norway

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QuantStudio7 (Applied Biosystems), otherwise as described for regular PCR. Bioinformatics Gene expression data from pheochromocytoma and paraganglioma (PCPG) are available through the Cancer Genome Atlas (TCGA) Research Network ( https

Article Type:
Research Article
DOI:
https://doi.org/10.1530/EC-21-0269
Volume/Issue:
Volume 10: Issue 8
Open access
Erika Biegelmeyer Internal Medicine Division, Hospital de Clínicas de Porto Alegre, Internal Medicine Department, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul

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Iury Scanagata Internal Medicine Division, Hospital de Clínicas de Porto Alegre, Internal Medicine Department, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul

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Laura Alves Internal Medicine Division, Hospital de Clínicas de Porto Alegre, Internal Medicine Department, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul

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Murilo Reveilleau Internal Medicine Division, Hospital de Clínicas de Porto Alegre, Internal Medicine Department, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul

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Fernando Pereira Schwengber Internal Medicine Division, Hospital de Clínicas de Porto Alegre, Internal Medicine Department, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul

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Simone Magagnin Wajner Internal Medicine Division, Hospital de Clínicas de Porto Alegre, Internal Medicine Department, Universidade Federal do Rio Grande do Sul, Porto Alegre, Rio Grande do Sul

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triiodothyronines predicts worsen neurological outcome of patients with acute ischemic stroke: a retrospective study with bioinformatics analysis . BMC Neurology 2019 19 272. ( https://doi.org/10.1186/s12883-019-1509-x ) 16 Petrone A Mormile F Bruni G

Article Type:
Research Article
DOI:
https://doi.org/10.1530/EC-21-0080
Volume/Issue:
Volume 10: Issue 8
Open access
Li Li Department of Endocrinology and Metabolism, Ningbo First Hospital, Ningbo, Zhejiang, China

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Qifa Song Department of Microbiology, Ningbo Municipal Centre for Disease Control and Prevention, Ningbo, Zhejiang, China

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Xi Yang Department of Endocrinology and Metabolism, Ningbo First Hospital, Ningbo, Zhejiang, China

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Karpatne A Kumar V . Introduction to Data Mining , 2nd ed ., Chapter 8. London, UK : Pearson , 2018 . 19 Wilkin GA Huang X . A practical comparison of two K-Means clustering algorithms . BMC Bioinformatics 2008 (Supplement 6) S19

Article Type:
Research Article
DOI:
https://doi.org/10.1530/EC-19-0476
Volume/Issue:
Volume 9: Issue 2
Open access
Anne Jouinot Université de Paris, Institut Cochin, INSERM U1016, CNRS UMR8104, Paris, France
Department of Endocrinology, Assistance Publique Hôpitaux de Paris, Hôpital Cochin, Paris, France

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Juliane Lippert Department of Internal Medicine I, Division of Endocrinology and Diabetes, University Hospital, University of Wuerzburg, Wuerzburg, Germany

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Martin Fassnacht Department of Internal Medicine I, Division of Endocrinology and Diabetes, University Hospital, University of Wuerzburg, Wuerzburg, Germany
Comprehensive Cancer Center Mainfranken, University of Wuerzburg, Wuerzburg, Germany

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Bruno de La Villeon Université de Paris, Institut Cochin, INSERM U1016, CNRS UMR8104, Paris, France

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Amandine Septier Université de Paris, Institut Cochin, INSERM U1016, CNRS UMR8104, Paris, France

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Mario Neou Université de Paris, Institut Cochin, INSERM U1016, CNRS UMR8104, Paris, France

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Karine Perlemoine Université de Paris, Institut Cochin, INSERM U1016, CNRS UMR8104, Paris, France

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Silke Appenzeller Department of Internal Medicine I, Division of Endocrinology and Diabetes, University Hospital, University of Wuerzburg, Wuerzburg, Germany

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Mathilde Sibony Université de Paris, Institut Cochin, INSERM U1016, CNRS UMR8104, Paris, France
Department of Pathology, Assistance Publique Hôpitaux de Paris, Hôpital Cochin, Paris, France

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Sébastien Gaujoux Université de Paris, Institut Cochin, INSERM U1016, CNRS UMR8104, Paris, France
Department of Digestive and Endocrine Surgery, Assistance Publique Hôpitaux de Paris, Hôpital Cochin, Paris, France

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Bertrand Dousset Université de Paris, Institut Cochin, INSERM U1016, CNRS UMR8104, Paris, France
Department of Digestive and Endocrine Surgery, Assistance Publique Hôpitaux de Paris, Hôpital Cochin, Paris, France

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Rossella Libe Université de Paris, Institut Cochin, INSERM U1016, CNRS UMR8104, Paris, France
Department of Endocrinology, Assistance Publique Hôpitaux de Paris, Hôpital Cochin, Paris, France

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Lionel Groussin Université de Paris, Institut Cochin, INSERM U1016, CNRS UMR8104, Paris, France
Department of Endocrinology, Assistance Publique Hôpitaux de Paris, Hôpital Cochin, Paris, France

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Cristina L Ronchi Department of Internal Medicine I, Division of Endocrinology and Diabetes, University Hospital, University of Wuerzburg, Wuerzburg, Germany
Institute of Metabolism and System Research, University of Birmingham, Birmingham, UK
Centre for Endocrinology, Diabetes and Metabolism, Birmingham Health Partners, Birmingham, UK

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Guillaume Assié Université de Paris, Institut Cochin, INSERM U1016, CNRS UMR8104, Paris, France
Department of Endocrinology, Assistance Publique Hôpitaux de Paris, Hôpital Cochin, Paris, France

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Jérôme Bertherat Université de Paris, Institut Cochin, INSERM U1016, CNRS UMR8104, Paris, France
Department of Endocrinology, Assistance Publique Hôpitaux de Paris, Hôpital Cochin, Paris, France

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bioinformatic and statistical analyses. Manuscript writing was carried out by A J, J L, M F, S A, C L R, G A and J B. All authors contributed to the manuscript revision. Acknowledgements The authors are grateful to Sonja Steinhauer for the expert

Article Type:
Research Article
DOI:
https://doi.org/10.1530/EC-20-0228
Volume/Issue:
Volume 9: Issue 7
Open access
Ling Zhou Department of Gynecology of Traditional Chinese Medicine, Changhai Hospital, Naval Medical University, Shanghai, China

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Zhexin Ni Department of Gynecology of Traditional Chinese Medicine, Changhai Hospital, Naval Medical University, Shanghai, China

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Wen Cheng Department of Gynecology of Traditional Chinese Medicine, Changhai Hospital, Naval Medical University, Shanghai, China

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Jin Yu Department of Gynecology of Traditional Chinese Medicine, Changhai Hospital, Naval Medical University, Shanghai, China

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Shuai Sun Department of Gynecology of Traditional Chinese Medicine, Changhai Hospital, Naval Medical University, Shanghai, China

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Dongxia Zhai Department of Gynecology of Traditional Chinese Medicine, Changhai Hospital, Naval Medical University, Shanghai, China

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Chaoqin Yu Department of Gynecology of Traditional Chinese Medicine, Changhai Hospital, Naval Medical University, Shanghai, China

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Zailong Cai Department of Biochemistry and Molecular Biology, Naval Medical University, Shanghai, China

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clustered using the RDP classifier ( http://rdp.cme.msu.edu/ ) and compared with Silva database (SSU128/16s bacteria) at 70% comparison threshold. Bioinformatics analysis Silva database was selected for comparison with threshold of 70% to obtain the

Article Type:
Research Article
DOI:
https://doi.org/10.1530/EC-19-0522
Volume/Issue:
Volume 9: Issue 1
Open access
Yuan Zhou Department of Endocrinology and Metabology, The First Affiliated Hospital of Shandong First Medical University, Ji-nan, China
Laboratory of Endocrinology, Medical Research Center, Shandong Provincial Qianfoshan Hospital, The First Affiliated Hospital of Shandong First Medical University, Ji-nan, China

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ShengNan Wang Department of Endocrinology and Metabology, The First Affiliated Hospital of Shandong First Medical University, Ji-nan, China
Laboratory of Endocrinology, Medical Research Center, Shandong Provincial Qianfoshan Hospital, The First Affiliated Hospital of Shandong First Medical University, Ji-nan, China

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Jing Wu Department of Endocrinology and Metabology, The First Affiliated Hospital of Shandong First Medical University, Ji-nan, China
Laboratory of Endocrinology, Medical Research Center, Shandong Provincial Qianfoshan Hospital, The First Affiliated Hospital of Shandong First Medical University, Ji-nan, China

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JianJun Dong Department of Endocrinology, Qilu Hospital of Shandong University, Ji-nan, China

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Lin Liao Department of Endocrinology and Metabology, The First Affiliated Hospital of Shandong First Medical University, Ji-nan, China
Department of Endocrinology and Metabology, Shandong Provincial Qianfoshan Hospital, Cheeloo College of Medicine, Shandong University, Ji-nan, China

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.3%) duplicates, and (1.1%) all exon deletion. All of these mutations were predicted to be deleterious, analyzed by online bioinformatics tools. Another six mutations were located outside the coding region involving c.1254-1G > C, c.208 + 3A > T, c.46-2A > G, c

Article Type:
Research Article
DOI:
https://doi.org/10.1530/EC-20-0074
Volume/Issue:
Volume 9: Issue 5
Open access
Nidan Qiao Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai, China
Neuroendocrine Unit, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA

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://doi.org/10.1038/s41584-018-0130-5 ) 30523334 25 Wang L Wang Y Chang Q . Feature selection methods for big data bioinformatics: a survey from the search perspective . Methods 2016 111 . ( https://doi.org/10.1016/j.ymeth.2016.08.014 . 27592382

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DOI:
https://doi.org/10.1530/EC-19-0156
Volume/Issue:
Volume 8: Issue 7
Open access
Masafumi Tetsuka Department of Life and Food Science, Obihiro University of Agriculture and Veterinary Medicine, Obihiro, Hokkaido, Japan

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Misato Tanakadate Department of Life and Food Science, Obihiro University of Agriculture and Veterinary Medicine, Obihiro, Hokkaido, Japan

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-specific primers for polymerase chain reaction . Biomed Central Bioinformatics 2012 13 134 . ( https://doi.org/10.1186/1471-2105-13-134 ) 19 Vandesompele J De Preter K Pattyn F Poppe B Van Roy N De Paepe A Speleman F . Accurate normalization

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Research Article
DOI:
https://doi.org/10.1530/EC-19-0188
Volume/Issue:
Volume 8: Issue 7
Open access