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Gene expression profiling of subcutaneous adipose tissue reveals new biomarkers in acromegaly

• Authors : Falch, Camilla M.; Arlien-Søborg, Mai Christiansen; Dal, Jakob

Subjects: Acromegaly; Adipose Tissue/metabolism; Biomarkers

• Source: Falch , C M , Arlien-Søborg , M C , Dal , J , Sundaram , A Y M , Michelsen , A E , Ueland , T , Olsen , L G , Heck , A , Bollerslev , J , Jørgensen , J O L & Olarescu , N C 2023 , '

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Investigating Whether a Combination of Electro-Encephalography and Gene Expression Profiling Can Predict the Risk of Chronic Pain:A Protocol for an Observational Prospective Cohort Study

• Authors : Sannes, Ann-Christin; Ghani, Usman; Niazi, Imran Khan

Subjects: RNA sequencing; electro-encephalography (EEG); low back pain

• Source: Sannes , A-C , Ghani , U , Niazi , I K , Moberget , T , Jonassen , R , Haavik , H & Gjerstad , J 2024 , ' Investigating Whether a Combination of Electro-Encephalography and

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Gene Expression Profiling Reveals the Shared and Distinct Transcriptional Signatures in Human Lung Epithelial Cells Infected With SARS-CoV-2, MERS-CoV, or SARS-CoV:Potential Implications in Cardiovascular Complications of COVID-19

• Authors : Jha, Prabhash Kumar; Vijay, Aatira; Halu, Arda

• Source: Jha , P K , Vijay , A , Halu , A , Uchida , S & Aikawa , M 2021 , ' Gene Expression Profiling Reveals the

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Gene expression comparisons between captive and wild shrew brains reveal captivity effects

• Authors : Bedoya Duque, Maria Alejandra; Thomas, William R; Dechmann, Dina K N

Subjects: Animals; Wild/genetics; Zoo

• Source: Bedoya Duque , M A , Thomas , W R , Dechmann , D K N , Nieland , J , Baldoni , C , von Elverfeldt , D , Muturi , M , Corthals , A P & Dávalos , L M 2025 , ' Gene

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Oral mucosa tissue gene expression profiling before, during, and after radiation therapy for tonsil squamous cell carcinoma

• Authors : Marcussen, Mette; Sønderkær, Mads; Bødker, Julie Støve

Subjects: Journal Article

• Source: Marcussen , M , Sønderkær , M , Bødker , J S , Andersen , M , Nielsen , S , Vesteghem , C , Christiansen , I , Bergmann , O J , Bøgsted , M , Dybkær , K , Vyberg , M & Johnsen , H E 2018 , ' Oral

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DNA mismatch repair defect and intratumor heterogeneous deficiency differently impact immune responses in diffuse large B-cell lymphoma

• Authors : Xu-Monette, Zijun Y; Luo, Cancan; Yu, Li

Subjects: Adult; Aged; Biomarkers

• Source: Xu-Monette , Z Y , Luo , C , Yu , L , Li , Y , Bhagat , G , Tzankov , A , Visco , C , Fan , X , Dybkaer , K , Sakhdari , A , Wang , N T , Yuan , A F , Chiu , A , Tam , W , Zu , Y , Hsi , E D , Perry ,

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Transcriptome wide changes in long noncoding RNAs in diabetic ischemic heart disease

• Authors : Rai, Amit Kumar; Muthukumaran, Natarajaseenivasan Suriya; Nisini, Noemi

Subjects: Animals; Diabetes Mellitus; Type 2/genetics

• Source: Rai , A K , Muthukumaran , N S , Nisini , N , Lee , T , Kyriazis , I D , de Lucia , C , Piedepalumbo , M , Roy , R , Uchida , S , Drosatos , K , Bisserier , M , Katare , R , Goukassian , D , Kishore ,

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Validation and implementation of a method for microarray gene expression profiling of minor B-cell subpopulations in man

• Authors : Bergkvist, Kim Steve; Nyegaard, Mette; Bøgsted, Martin

• Source: Bergkvist , K S , Nyegaard , M , Bøgsted , M , Schmitz , A , Bødker , J S , Rasmussen , S M , Perez-Andres , M , Larsen , S F , Bilgrau , A E , Kjeldsen , M K , Gaihede , M , Nørgaard , M A , Bæch

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Antisense-oligonucleotide-mediated perturbation of long non-coding RNA reveals functional features in stem cells and across cell types

• Authors : Yip, Chi Wai; Hon, Chung-Chau; Yasuzawa, Kayoko

Subjects: Embryonic Stem Cells/metabolism; Gene Expression Profiling/methods; Humans

• Source: Yip , C W , Hon , C-C , Yasuzawa , K , Sivaraman , D M , Ramilowski , J A , Shibayama , Y , Agrawal , S , Prabhu , A V , Parr , C , Severin , J , Lan , Y J , Dostie , J , Petri , A , Nishiyori-Sueki ,

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Automated machine learning optimizes and accelerates predictive modeling from COVID-19 high throughput datasets

• Authors : Papoutsoglou, Georgios; Karaglani, Makrina; Lagani, Vincenzo

Subjects: Biomarkers/blood; COVID-19/diagnosis; Computer Simulation

• Source: Papoutsoglou , G , Karaglani , M , Lagani , V , Thomson , N , Røe , O D , Tsamardinos , I & Chatzaki , E 2021 , ' Automated machine learning optimizes and accelerates predictive modeling from

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