Schwenk, Jochen M.

Tissue-based map of the human proteome

Uhlén, M., Fagerberg, L., Hallström, B. M., Lindskog, C., Oksvold, P., Mardinoglu, A., Sivertsson, Å., Kampf, C., Sjöstedt, E., Asplund, A., et al. (2015) · Science

Bioinformatics and Genomic NetworksAdvanced Proteomics Techniques and Applications

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Analysis of the Human Tissue-specific Expression by Genome-wide Integration of Transcriptomics and Antibody-based Proteomics

Fagerberg, L., Hallström, B. M., Oksvold, P., Kampf, C., Djureinovic, D., Odeberg, J., Habuka, M., Tahmasebpoor, S., Danielsson, A., Edlund, K., et al. (2014) · Molecular & Cellular Proteomics

Bioinformatics and Genomic NetworksGene expression and cancer classification

Cited by 3,665

A pathology atlas of the human cancer transcriptome

Uhlen, M., Zhang, C., Lee, S., Sjöstedt, E., Fagerberg, L., Bidkhori, G., Benfeitas, R., Arif, M., Liu, Z., Edfors, F., et al. (2017) · Science

Bioinformatics and Genomic NetworksGene expression and cancer classification

Cited by 3,371

A subcellular map of the human proteome

Thul, P. J., Åkesson, L., Wiking, M., Mahdessian, D., Geladaki, A., Ait Blal, H., Alm, T., Asplund, A., Björk, L., Breckels, L. M., et al. (2017) · Science

Advanced Proteomics Techniques and ApplicationsBioinformatics and Genomic Networks

Cited by 2,813

The human secretome

Uhlén, M., Karlsson, M. J., Hober, A., Svensson, A.-S., Scheffel, J., Kotol, D., Zhong, W., Tebani, A., Strandberg, L., Edfors, F., et al. (2019) · Science Signaling

Advanced Proteomics Techniques and ApplicationsBioinformatics and Genomic Networks

Cited by 495

Genetics meets proteomics: perspectives for large population-based studies

Suhre, K., McCarthy, M. I., & Schwenk, J. M. (2021) · Nature Reviews Genetics

Genetic Associations and EpidemiologyBioinformatics and Genomic Networks

Cited by 478

A high-stringency blueprint of the human proteome

Adhikari, S., Nice, E. C., Deutsch, E. W., Lane, L., Omenn, G. S., Pennington, S. R., Paik, Y.-K., Overall, C. M., Corrales, F. J., Cristea, I. M., et al. (2020) · Nature Communications

Advanced Proteomics Techniques and ApplicationsBioinformatics and Genomic Networks

Cited by 210

Anoctamin 2 identified as an autoimmune target in multiple sclerosis

Ayoglu, B., Mitsios, N., Kockum, I., Khademi, M., Zandian, A., Sjöberg, R., Forsström, B., Bredenberg, J., Lima Bomfim, I., Holmgren, E., et al. (2016) · Proceedings of the National Academy of Sciences

Multiple Sclerosis Research StudiesSystemic Lupus Erythematosus Research

Cited by 111

Discovery of drug-omics associations in type 2 diabetes with generative deep-learning models

Allesøe, R. L., Lundgaard, A. T., Hernández Medina, R., Aguayo-Orozco, A., Johansen, J., Nissen, J. N., Brorsson, C., Mazzoni, G., Niu, L., Biel, J. H., et al. (2023) · Nature Biotechnology

Bioinformatics and Genomic NetworksComputational Drug Discovery Methods

Cited by 111

Predicting and elucidating the etiology of fatty liver disease: a machine learning modeling and validation study in the IMI DIRECT cohorts

Atabaki-Pasdar, N., Ohlsson, M., Viñuela, A., Frau, F., Pomares-Millan, H., Haid, M., Jones, A. G., Thomas, E. L., Koivula, R. W., Kurbasic, A., et al. (2020) · PLOS Medicine

Liver Disease Diagnosis and TreatmentAlcohol Consumption and Health Effects

Cited by 97

Progress on Identifying and Characterizing the Human Proteome: 2019 Metrics from the HUPO Human Proteome Project

Omenn, G. S., Lane, L., Overall, C. M., Corrales, F. J., Schwenk, J. M., Paik, Y.-K., Van Eyk, J. E., Liu, S., Pennington, S., Snyder, M. P., et al. (2019) · Journal of Proteome Research

Advanced Proteomics Techniques and ApplicationsBioinformatics and Genomic Networks

Cited by 40

Itch receptor MRGPRX4 interacts with the receptor activity–modifying proteins

Kotliar, I. B., Ceraudo, E., Kemelmakher-Liben, K., Oren, D. A., Lorenzen, E., Dodig-Crnković, T., Horioka-Duplix, M., Huber, T., Schwenk, J. M., & Sakmar, T. P. (2023) · Journal of Biological Chemistry

Receptor Mechanisms and SignalingIon Channels and Receptors

Cited by 21

Itch receptor MRGPRX4 interacts with the receptor activity-modifying proteins (RAMPs)

Kotliar, I. B., Ceraudo, E., Kemelmakher-Liben, K., Oren, D. A., Lorenzen, E., Dodig-Crnković, T., Horioka-Duplix, M., Huber, T., Schwenk, J. M., & Sakmar, T. P. (2022) · Journal of Biological Chemistry

Receptor Mechanisms and SignalingIon Channels and Receptors

Cited by 20