Showing 1 - 20 of 357

Twin pairs discordant for incident coronary artery disease reveal epigenetic and transcriptomic differences by gene region
Skovgaard, Asmus Cosmos ; Thinggaard, Mikael ; Hjelmborg, Jacob vB ; et al.
Skovgaard, A C, Thinggaard, M, Hjelmborg, J VB, Nejad, A M, Beck, H C, Tan, Q & Soerensen, M 2025, 'Twin pairs discordant for incident coronary artery disease reveal epigenetic and transcriptomic differences by gene region', Molecular Genetics and Genomics, vol. 301, no. 1, pp. 6. https://doi.org/10.1007/s00438-025-02325-8

A scRNA-seq reference contrasting living and early post-mortem human retina across diverse donor states
Yang, Luning ; Tao, Yiwen ; Pan, Qi ; et al.
Yang, L, Tao, Y, Pan, Q, Cai, T, Ye, Y, Liu, J, Zhou, Y, Shao, Y, Yi, Q, Lu, Z H, Chen, L, McKay, G, Rankin, R & Meng, W 2025, 'A scRNA-seq reference contrasting living and early post-mortem human retina across diverse donor states', Human genomics, vol. 19, 81. https://doi.org/10.1186/s40246-025-00796-9

Polygenic transcriptome risk scores enhance predictive accuracy in atopic dermatitis
Antonatos, Charalabos ; Budu-Aggrey, Ashley ; Pontikas, Alexandros ; et al.
Antonatos, C, Budu-Aggrey, A, Pontikas, A, Akritidis, A, Pasmatzi, E, Tsiogka, A, Gregoriou, S, Grafanaki, K, Paternoster, L & Vasilopoulos, Y 2025, 'Polygenic transcriptome risk scores enhance predictive accuracy in atopic dermatitis', Journal of Translational Medicine, vol. 23, no. 1, 575. https://doi.org/10.1186/s12967-025-06570-8

Transcriptomic Analysis of APOE4's Impact on the Peripheral Immune System in Alzheimer's Disease
Hubaib, Muhammad ; orcid:0000-0003-2922-

Genetic and Molecular Characterization of H9c2 Rat Myoblast Cell Line
Liehr, Thomas ; Kankel, Stefanie ; Hardt, Katharina S ; et al.
Liehr, T, Kankel, S, Hardt, K S, Buhl, E M, Noels, H, Keller, D T, Schröder-Lange, S K & Weiskirchen, R 2025, 'Genetic and Molecular Characterization of H9c2 Rat Myoblast Cell Line', Cells, vol. 14, no. 7, 502. https://doi.org/10.3390/cells14070502

Characterization of human melanoma skin cancer models:A step towards model-based melanoma research
Daugaard, Nicoline Dorothea ; Tholstrup, Rikke ; Tornby, Jakob Rask ; et al.
Daugaard, N D, Tholstrup, R, Tornby, J R, Bendixen, S M, Larsen, F T, De Zio, D, Barnkob, M B, Ravnskjaer, K & Brewer, J R 2025, 'Characterization of human melanoma skin cancer models : A step towards model-based melanoma research', Acta Biomaterialia, vol. 191, pp. 308-324. https://doi.org/10.1016/j.actbio.2024.11.018

Multiomics unravels the complexity of male obesity: a prospective observational study.
Papadakis, G.E. ; Vionnet, N. ; Niederländer, N.J. ; et al.
Journal of translational medicine, vol. 23, no. 1, pp. 138

The Exon-Based Transcriptomic Analysis of Parkinson's Disease
Kõks, Sulev

Whole blood transcriptome profile identifies motor neurone disease RNA biomarker signatures
Kõks, Sulev ; Rallmann, Karin ; Muldmaa, Mari ; et al.

Molecular landscape of sex- and modality-specific exercise adaptation in human skeletal muscle through large-scale multi-omics integration
Jacques, Macsue ; Landen, Shanie ; Sharples, Adam P. ; et al.
Jacques, M, Landen, S, Sharples, A P, Garnham, A, Schittenhelm, R, Steele, J, Heikkinen, A, Sillanpää, E, Ollikainen, M, Broatch, J, Zarekookandeh, N, Hanson, O, Ekström, O, Asplund, O, Lamon, S, Alexander, S E, Smith, C, Bauer, C, Woessner, M N, Levinger, I, Teschendorff, A E, Gillberg, L, Blom, I, Helge, J W, Harvey, N R, Haupt, L M, Griffiths, L R, Deshmukh, A S, Pietiläinen, K H, Piirilä, P, Seaborne, R A E, Klevjer, M, Bye, A, Wisløff, U, Jones-Freeman, B & Eynon, N 2025, 'Molecular landscape of sex- and modality-specific exercise adaptation in human skeletal muscle through ....

Transcriptomic decoding of surface-based imaging phenotypes and its application to pharmacotranscriptomics
Ecker, Christine ; Pretzsch, Charlotte M ; Leyhausen, Johanna ; et al.
Ecker, C, Pretzsch, C M, Leyhausen, J, Berg, L M, Gurr, C, Seelemeyer, H, McAlonan, G, Puts, N A, Loth, E, Dell'Aqua, F, Mason, L, Charman, T, Oakley, B, Bourgeron, T, Beckmann, C, Buitelaar, J K, Arango, C, Banaschewski, T, Chiocchetti, A G, Freitag, C M, Hattingen, E, Krueger-Burg, D, Schmeisser, M J, Repple, J, Reif, A & Murphy, D G 2025, 'Transcriptomic decoding of surface-based imaging phenotypes and its application to pharmacotranscriptomics', Nature Communications, vol. 16, 6727. https://doi.org/10.1038/s41467-025-61927-3

Scale:unsupervised multiscale domain identification in spatial omics data
Yousefi, Behnam ; Schaub, Darius P ; Khatri, Robin ; et al.
Yousefi, B, Schaub, D P, Khatri, R, Kaiser, N, Kuehl, M, Ly, C, Puelles, V G, Huber, T B, Prinz, I, Krebs, C F, Panzer, U & Bonn, S 2026, 'Scale : unsupervised multiscale domain identification in spatial omics data', Nucleic Acids Research, vol. 54, no. 1. https://doi.org/10.1093/nar/gkaf1456

The Quick Guide to RNA-Seq: From Data Acquisition to Functional Analysis
Solaiman, Morjina ; orcid:0009-0009-5902-

Exploring combinations of dimensionality reduction, transfer learning, and regularization methods for predicting binary phenotypes with transcriptomic data
Oshternian, S R ; Loipfinger, S ; Bhattacharya, A ; et al.
Oshternian, S R, Loipfinger, S, Bhattacharya, A & Fehrmann, R S N 2024, 'Exploring combinations of dimensionality reduction, transfer learning, and regularization methods for predicting binary phenotypes with transcriptomic data', Bmc Bioinformatics, vol. 25, 167. https://doi.org/10.1186/s12859-024-05795-6

Discovery of genomic and transcriptomic pleiotropy between kidney function and soluble receptor for advanced glycation end products using correlated meta-analyses:The Long Life Family Study
Feitosa, Mary F. ; Lin, Shiow J. ; Acharya, Sandeep ; et al.
Feitosa, M F, Lin, S J, Acharya, S, Thyagarajan, B, Wojczynski, M K, Kuipers, A L, Kulminski, A M, Christensen, K, Zmuda, J M, Brent, M R & Province, M A 2024, 'Discovery of genomic and transcriptomic pleiotropy between kidney function and soluble receptor for advanced glycation end products using correlated meta-analyses : The Long Life Family Study', Aging Cell, vol. 23, no. 10, e14261. https://doi.org/10.1111/acel.14261

Genome-wide prediction and transcriptome analysis of sugar transporters in four ascomycete fungi
Xu, Li ; Li, Jiajia ; Gonzalez Ramos, Victor M ; et al.
Xu , L , Li , J , Gonzalez Ramos , V M , Lyra , C , Wiebenga , A , Grigoriev , I V , de Vries , R P , Mäkelä , M R & Peng , M 2024 , ' Genome-wide prediction and transcriptome analysis of sugar transporters in four ascomycete fungi ' , Bioresource Technology , vol. 391 , no. Pt B , pp. 130006 . https://doi.org/10.1016/j.biortech.2023.130006

Interactive molecular causal networks of hypertension using a fast machine learning algorithm MRdualPC
Kelly, Jack ; Xu, Xiaoguang ; Eales, James M ; et al.
Kelly, J, Xu, X, Eales, J M, Keavney, B, Berzuini, C, Tomaszewski, M & Guo, H 2024, 'Interactive molecular causal networks of hypertension using a fast machine learning algorithm MRdualPC', BMC Medical Research Methodology , vol. 24, no. 1, 168. https://doi.org/10.1186/s12874-024-02229-y

Paired Transcriptomic Analyses of Atheromatous and Control Vessels Reveal Novel Autophagy and Immunoregulatory Genes in Peripheral Artery Disease
Machiraju, Praveen ; Srinivas, Rajesh ; Kannan, Ramaraj ; et al.
Machiraju, P, Srinivas, R, Kannan, R, George, R, Heymans, S, Mukhopadhyay, R & Ghosh, A 2024, 'Paired Transcriptomic Analyses of Atheromatous and Control Vessels Reveal Novel Autophagy and Immunoregulatory Genes in Peripheral Artery Disease', Cells, vol. 13, no. 15, 1269. https://doi.org/10.3390/cells13151269

pyTWMR: transcriptome-wide Mendelian randomization in python.
Oreshkov, S. ; Lepik, K. ; Santoni, F.
Bioinformatics, vol. 40, no. 8

Model integration of circadian- and sleep-wake-driven contributions to rhythmic gene expression reveals distinct regulatory principles.
Jan, M. ; Jimenez, S. ; Hor, C.N. ; et al.
Cell systems, vol. 15, no. 7, pp. 610-627.e8