The DOI matches its Crossref record; 28 of the 28 references it cites were found in a registry or an index.
Analysis of the Human Tissue-specific Expression by Genome-wide Integration of Transcriptomics and Antibody-based Proteomics
Open accessAbstract
Global classification of the human proteins with regards to spatial expression patterns across organs and tissues is important for studies of human biology and disease. Here, we used a quantitative transcriptomics analysis (RNA-Seq) to classify the tissue-specific expression of genes across a representative set of all major human organs and tissues and combined this analysis with antibody-based profiling of the same tissues. To present the data, we launch a new version of the Human Protein Atlas that integrates RNA and protein expression data corresponding to ∼80% of the human protein-coding genes with access to the primary data for both the RNA and the protein analysis on an individual gene level. We present a classification of all human protein-coding genes with regards to tissue-specificity and spatial expression pattern. The integrative human expression map can be used as a starting point to explore the molecular constituents of the human body.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“We found that a set of 2,647 genes expressed specifically in brain tissue23 was strongly enriched for dURVs (OR=1.17; 95% CI=1.11–1.23; P = 1.2 × 10−4), whereas sets of genes with expression specific to other tissues (including immune cells) were not (Fig. 3a and Supplementary Fig. 7).”
From Increased burden of ultra-rare protein-altering variants among 4,877 individuals with schizophrenia (2016) · cites this paper as [23]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Cytoscape: A software Environment for integrated models of biomolecular interaction networks
Shannon, P., Markiel, A., Ozier, O., Baliga, N. S., Wang, J. T., Ramage, D., Amin, N., Schwikowski, B., & Ideker, T. (2003) · Genome Research · doi:10.1101/gr.1239303 · Cited by 51,888
Gene Ontology: tool for the unification of biology
Ashburner, M., Ball, C. A., Blake, J. A., Botstein, D., Butler, H., Cherry, J. M., Davis, A. P., Dolinski, K., Dwight, S. S., Eppig, J. T., et al. (2000) · Nature Genetics · doi:10.1038/75556 · Cited by 43,206
An integrated encyclopedia of DNA elements in the human genome
The ENCODE Project Consortium (2012) · Nature · doi:10.1038/nature11247 · Cited by 18,072
Trapnell, C., Williams, B. A., Pertea, G., Mortazavi, A., Kwan, G., van Baren, M. J., Salzberg, S. L., Wold, B. J., & Pachter, L. (2010) · Nature Biotechnology · doi:10.1038/nbt.1621 · Cited by 15,556
Mapping and quantifying mammalian transcriptomes by RNA-Seq
Mortazavi, A., Williams, B. A., McCue, K., Schaeffer, L., & Wold, B. (2008) · Nature Methods · doi:10.1038/nmeth.1226 · Cited by 13,696
TopHat: discovering splice junctions with RNA-Seq
Trapnell, C., Pachter, L. S., & Salzberg, S. L. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp120 · Cited by 11,682
The cancer genome atlas pan-cancer analysis project
The Cancer Genome Atlas Research Network, Weinstein, J. N., Collisson, E. A., Mills, G. B., Shaw, K. R. M., Ozenberger, B. A., Ellrott, K., Shmulevich, I., Sander, C., & Stuart, J. M. (2013) · Nature Genetics · doi:10.1038/ng.2764 · Cited by 9,092
A gene atlas of the mouse and human protein-encoding transcriptomes
Su, A. I., Wiltshire, T., Batalov, S., Lapp, H., Ching, K. A., Block, D., Zhang, J., Soden, R., Hayakawa, M., Kreiman, G., et al. (2004) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0400782101 · Cited by 3,475
GOrilla: a tool for discovery and visualization of enriched GO terms in ranked gene lists
Eden, E., Navon, R., Steinfeld, I., Lipson, D., & Yakhini, Z. (2009) · BMC Bioinformatics · doi:10.1186/1471-2105-10-48 · Cited by 3,356
Towards a knowledge-based Human Protein Atlas
Uhlen, M., Oksvold, P., Fagerberg, L., Lundberg, E., Jonasson, K., Forsberg, M., Zwahlen, M., Kampf, C., Wester, K., Hober, S., et al. (2010) · Nature Biotechnology · doi:10.1038/nbt1210-1248 · Cited by 2,440
Self-citation
Flagged first, then by citations
Cited by
Sorted by citations
Items 701–800 of 1,006
Cortese, M., Torchiaro, E., D'Andrea, A., Petti, C., Invrea, F., Franco, L., Donini, C., Leuci, V., Leto, S. M., Vurchio, V., et al. (2024) · Molecular Therapy · doi:10.1016/j.ymthe.2024.06.023 · Cited by 35
Integrative analysis of human omics data using biomolecular networks
Robinson, J. L., & Nielsen, J. (2016) · Molecular BioSystems · doi:10.1039/c6mb00476h · Cited by 33
Self-citationThe Human Adrenal Gland Proteome Defined by Transcriptomics and Antibody-Based Profiling
Bergman, J., Botling, J., Fagerberg, L., Hallström, B. M., Djureinovic, D., Uhlén, M., & Pontén, F. (2016) · Endocrinology · doi:10.1210/en.2016-1758 · Cited by 32
Self-citationWang, L., Yang, H., Lin, X., Cao, Y., Gao, P., Zheng, Y., & Fan, Z. (2018) · Cell Proliferation · doi:10.1111/cpr.12459 · Cited by 32
Novel rearrangements involving the RET gene in papillary thyroid carcinoma
Staubitz, J. I., Schad, A., Springer, E., Rajalingam, K., Lang, H., Roth, W., Hartmann, N., & Musholt, T. J. (2018) · Cancer Genetics · doi:10.1016/j.cancergen.2018.11.002 · Cited by 32
Yuan, X., Zheng, H., Su, Y., Guo, P., Zhang, X., Zhao, Q., Ge, W., Li, C., Xi, Y., & Yang, X. (2019) · Cell Death and Disease · doi:10.1038/s41419-019-1398-3 · Cited by 32
Yan, H., Shi, Z., Wu, Y., Xiao, J., Gu, Q., Yang, Y., Li, M., Gao, K., Chen, Y., Yang, X., et al. (2019) · BMC Medical Genetics · doi:10.1186/s12881-019-0794-y · Cited by 35
Aldehyde oxidase; new approaches to old problems
Beedham, C. (2019) · Xenobiotica · doi:10.1080/00498254.2019.1626029 · Cited by 32
Briz, Ó., Perez‐Silva, L., Al‐Abdulla, R., Abete, L., Reviejo, M., Romero, M. R., & Marı́n, J. J. G. (2019) · Expert Opinion on Drug Metabolism & Toxicology · doi:10.1080/17425255.2019.1631285 · Cited by 33
Development of anIn VitroHuman Thyroid Microtissue Model for Chemical Screening
Deisenroth, C., Soldatow, V. Y., Ford, J., Stewart, W. M., Brinkman, C. L., LeCluyse, E. L., MacMillan, D. K., & Thomas, R. S. (2019) · Toxicological Sciences · doi:10.1093/toxsci/kfz238 · Cited by 33
Comparative gain-of-function effects of the KCNMA1-N999S mutation on human BK channel properties
Moldenhauer, H. J., Matychak, K. K., & Meredith, A. L. (2019) · Journal of Neurophysiology · doi:10.1152/jn.00626.2019 · Cited by 32
Understanding the role of OXPHOS dysfunction in the pathogenesis of ECHS1 deficiency
Burgin, H. J., & McKenzie, M. (2020) · FEBS Letters · doi:10.1002/1873-3468.13735 · Cited by 32
Marin, P., Bécamel, C., Chaumont‐Dubel, S., Vandermoere, F., Bockaert, J., & Claeysen, S. (2020) · Handbook of behavioral neuroscience · doi:10.1016/b978-0-444-64125-0.00005-0 · Cited by 36
Shen, F., Long, Y., Li, F., Ge, G., Song, G., Li, Q., Qiao, Z., & Cui, Z. (2020) · Genomics · doi:10.1016/j.ygeno.2020.01.026 · Cited by 32
Kidney injury biomarkers in an academic hospital setting: where are we now?
van Duijl, T. T., Ruhaak, L. R., de Fijter, J. W., & Cobbaert, C. M. (2019) · Clinical Biochemist Reviews · doi:10.33176/aacb-18-00017 · Cited by 33
Hosseinian, S., Arefian, E., Rakhsh-Khorshid, H., Eivani, M., Rezayof, A., Pezeshk, H., & Marashi, S. (2020) · Scientific Reports · doi:10.1038/s41598-020-64452-z · Cited by 35
Banerjee, S., Ghoshal, S., Stevens, J. R., McCommis, K. S., Gao, S., Castro‐Sepúlveda, M., Mizgier, M. L., Clemence, G., Kumar, K. G., Galgani, J. E., et al. (2020) · Journal of Biological Chemistry · doi:10.1074/jbc.ra120.014381 · Cited by 36
Baddock, H. T., Yosaatmadja, Y., Newman, J. A., Schofield, C. J., Gileadi, O., & McHugh, P. J. (2020) · DNA repair · doi:10.1016/j.dnarep.2020.102941 · Cited by 36
A binding protein regulates myosin-7a dimerization and actin bundle assembly
Liu, R., Billington, N., Yang, Y., Bond, C. R., Hong, A., Siththanandan, V. B., Takagi, Y., & Sellers, J. R. (2021) · Nature Communications · doi:10.1038/s41467-020-20864-z · Cited by 32
Genetic Variability in Molecular Pathways Implicated in Alzheimer's Disease: A Comprehensive Review
Vogrinc, D., Goričar, K., & Dolžan, V. (2021) · Frontiers in Aging Neuroscience · doi:10.3389/fnagi.2021.646901 · Cited by 32
Rey, F., Pandini, C., Messa, L., Launi, R., Barzaghini, B., Zangaglia, R., Raimondi, M. T., Gagliardi, S., Cereda, C., Zuccotti, G., et al. (2021) · Aging Cell · doi:10.1111/acel.13504 · Cited by 32
Neurofibromatosis Type 1 Gene Alterations Define Specific Features of a Subset of Glioblastomas
Scheer, M., Leisz, S., Sorge, E., Storozhuk, O. V., Prell, J., Ho, I. A. W., & Harder, A. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms23010352 · Cited by 32
Ma, W., Cao, M., Bi, S., Du, L., Chen, J., Wang, H., Jiang, Y., Wu, Y., Liao, Y., Kong, S., et al. (2022) · Cell and Tissue Research · doi:10.1007/s00441-022-03579-z · Cited by 33
Kelly, T. N., Sun, X., He, K., Brown, M. R., Taliun, S. A. G., Hellwege, J. N., Irvin, M. R., Mi, X., Brody, J. A., Franceschini, N., et al. (2022) · Hypertension · doi:10.1161/hypertensionaha.122.19324 · Cited by 30
Self-citationProtein glycosylation in urine as a biomarker of diseases
Xu, M., Yang, A., Xia, J., Jiang, J., Liu, C., Ye, Z., Ma, J., & Yang, S. (2022) · Translational research · doi:10.1016/j.trsl.2022.08.001 · Cited by 31
Naseem, M. T., Beaven, R., Koyama, T., Naz, S., Su, S.-Y., Leader, D. P., Klaerke, D. A., Calløe, K., Denholm, B., & Halberg, K. A. (2023) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2217084120 · Cited by 32
The SLIT/ROBO Pathway in Liver Fibrosis and Cancer
Basha, S., Jin-Smith, B., Sun, C., & Pi, L. (2023) · Biomolecules · doi:10.3390/biom13050785 · Cited by 32
Clinical proteomics: Promises, challenges and limitations of affinity arrays
Betzen, C., Alhamdani, M. S. S., Lueong, S., Schröder, C., Stang, A., & Hoheisel, J. D. (2015) · PROTEOMICS - CLINICAL APPLICATIONS · doi:10.1002/prca.201400156 · Cited by 36
Binding and sequestration of poison frog alkaloids by a plasma globulin
Alvarez-Buylla, A., Fischer, M.-T., Moya Garzon, M. D., Rangel, A. E., Tapia, E. E., Tanzo, J. T., Soh, H. T., Coloma, L. A., Long, J. Z., & O'Connell, L. A. (2023) · eLife · doi:10.7554/elife.85096 · Cited by 32
CD98 heavy chain as a prognostic biomarker and target for cancer treatment
Pu, X., & Dubrovska, A. (2023) · Frontiers in Oncology · doi:10.3389/fonc.2023.1251100 · Cited by 35
Spatial transcriptomics and the anatomical pathologist: Molecular meets morphology
Pang, J., Byrne, D. J., Bergin, A. R. T., Caramia, F., Loi, S., Gorringe, K. L., & Fox, S. B. (2023) · Histopathology · doi:10.1111/his.15093 · Cited by 32
Sadeesh, E. M., Lahamge, M. S., Malik, A., & Ampadi, A. N. (2024) · Molecular Biotechnology · doi:10.1007/s12033-024-01085-x · Cited by 31
Rataj, J., Górecki, L., Muthná, D., Sorf, A., Kryštof, V., Klener, P., Čečková, M., Řezáčová, M., & Korábečný, J. (2024) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2024.117788 · Cited by 32
Waks, Z., Weissbrod, O., Carmeli, B., Norel, R., Utro, F., & Goldschmidt, Y. (2016) · Scientific Reports · doi:10.1038/srep38988 · Cited by 31
HMGB3 modulates ROS production via activating TLR cascade in Apostichopus japonicus
Lv, Z., Zhang, Z., Wei, Z., Li, C., Shao, Y., Zhang, W., Zhao, X., & Xiong, J. (2017) · Developmental & Comparative Immunology · doi:10.1016/j.dci.2017.07.026 · Cited by 31
Recent developments in the genetics of attention‐deficit hyperactivity disorder
Grimm, O., Kittel‐Schneider, S., & Reif, A. (2018) · Psychiatry and Clinical Neurosciences · doi:10.1111/pcn.12673 · Cited by 36
Role of INSL4 Signaling in Sustaining the Growth and Viability of LKB1-Inactivated Lung Cancer
Yang, R., Li, S. W., Chen, Z., Zhou, X., Wei Min, N. I., Fu, D., Lu, J., Kaye, F. J., & Wu, L. (2018) · JNCI Journal of the National Cancer Institute · doi:10.1093/jnci/djy166 · Cited by 28
Hamilton, M., & Suri, M. (2018) · Advances in genetics · doi:10.1016/bs.adgen.2018.11.001 · Cited by 30
Sabbir, M. G. (2019) · The Journal of Steroid Biochemistry and Molecular Biology · doi:10.1016/j.jsbmb.2019.105376 · Cited by 33
Alsereihi, R., Schulten, H.-J., Bakhashab, S., Saini, K. S., Al-Hejin, A. M., & Hussein, D. M. (2019) · Cancers · doi:10.3390/cancers11070890 · Cited by 31
Datta, K. K., Patil, S., Patel, K., Babu, N., Raja, R., Nanjappa, V., Mangalaparthi, K. K., Dhaka, B., Rajagopalan, P., Deolankar, S. C., et al. (2019) · Cells · doi:10.3390/cells8090949 · Cited by 31
Multiple roles and regulatory mechanisms of the transcription factor GATA6 in human cancers
Sun, Z., & Yan, B. (2019) · Clinical Genetics · doi:10.1111/cge.13630 · Cited by 36
Pan, J., Yu, L., Wu, Q., Lin, X., Liu, S., Hu, S., Rosa, C., Eichinger, D. J., Pino, I., Zhu, H., et al. (2020) · Molecular & Cellular Proteomics · doi:10.1074/mcp.ra119.001905 · Cited by 32
Looking into the genetic bases of OCD dimensions: a pilot genome-wide association study
Alemany-Navarro, M., Cruz, R., Real, E., Segalàs, C., Bertolín, S., Rabionet, R., Carracedo, Á., Menchón, J. M., & Alonso, P. (2020) · Translational Psychiatry · doi:10.1038/s41398-020-0804-z · Cited by 31
Jiang, Z., Huang, Y., Zhang, P., Han, C., Lu, Y., Mo, Z., Zhang, Z., Li, X., Zhao, S., Cai, F., et al. (2020) · Molecular Brain · doi:10.1186/s13041-020-00637-x · Cited by 31
Male infertility and genitourinary birth defects: there is more than meets the eye
Punjani, N., & Lamb, D. J. (2020) · Fertility and Sterility · doi:10.1016/j.fertnstert.2020.06.042 · Cited by 34
Sepiapterin reductase: Characteristics and role in diseases
Wu, Y., Chen, P., Sun, L., Yuan, S., Cheng, Z., Lu, L., Du, H., & Zhan, M. (2020) · Journal of Cellular and Molecular Medicine · doi:10.1111/jcmm.15608 · Cited by 30
Coronavirus genomes carry the signatures of their habitats
Wei, Y., Silke, J. R., Aris, P., & Xia, X. (2020) · PLoS ONE · doi:10.1371/journal.pone.0244025 · Cited by 31
Misiura, M., Guszczyn, T., Ościłowska, I., Baszanowska, W., Palka, J. A., & Miltyk, W. (2021) · International Journal of Molecular Sciences · doi:10.3390/ijms22020936 · Cited by 31
Shnayder, N. A., Петрова, М. М., Викторовна, М. П., Shesternya, P. A., Пожиленкова, Е. А., & Nasyrova, R. F. (2021) · Molecules · doi:10.3390/molecules26061556 · Cited by 31
Lung‐specific distant enhancer cis regulates expression ofFOXF1and lncRNAFENDRR
Szafrański, P., Gambin, T., Karolak, J. A., Popek, E. J., & Stankiewicz, P. (2021) · Human Mutation · doi:10.1002/humu.24198 · Cited by 31
Transcription factor AP ‐2beta in development, differentiation and tumorigenesis
Raap, M., Gierendt, L., Kreipe, H. H., & Christgen, M. (2021) · International Journal of Cancer · doi:10.1002/ijc.33558 · Cited by 31
The Transcriptional Co-factor IRF2BP2: A New Player in Tumor Development and Microenvironment
Pastor, T., Peixoto, B., & Viola, J. P. B. (2021) · Frontiers in Cell and Developmental Biology · doi:10.3389/fcell.2021.655307 · Cited by 31
FAM209 associates with DPY19L2, and is required for sperm acrosome biogenesis and fertility in mice
Castaneda, J. M., Shimada, K., Satouh, Y., Yu, Z., Devlin, D. J., Ikawa, M., & Matzuk, M. M. (2021) · Journal of Cell Science · doi:10.1242/jcs.259206 · Cited by 31
Melanocortin-5 Receptor: Pharmacology and Its Regulation of Energy Metabolism
Ji, L., Hong, Y., & Tao, Y. (2022) · International Journal of Molecular Sciences · doi:10.3390/ijms23158727 · Cited by 36
Mattison, K. A., Tossing, G., Mulroe, F., Simmons, C., Butler, K. M., Schreiber, A., Alsadah, A., Neilson, D., Naess, K., Wedell, A., et al. (2022) · Brain · doi:10.1093/brain/awac330 · Cited by 31
Zacharopoulou, N., Tsapara, A., Kallergi, G., Schmid, E., Tsichlis, P. N., Kampranis, S. C., & Stournaras, C. (2018) · Biochimica et Biophysica Acta (BBA) - Molecular Cell Research · doi:10.1016/j.bbamcr.2018.01.009 · Cited by 31
Beinse, G., Borghese, B., Métairie, M., Just, P., Poulet, G., Garinet, S., Parfait, B., Didelot, A., Bourreau, C., Agueeff, N., et al. (2022) · Clinical Chemistry · doi:10.1093/clinchem/hvac020 · Cited by 30
PCSK9 Modulates Macrophage Polarization-Mediated Ventricular Remodeling after Myocardial Infarction
Wang, F., Li, M., Zhang, A., Li, H., Jiang, C., & Guo, J. (2022) · Journal of Immunology Research · doi:10.1155/2022/7685796 · Cited by 30
The potential roles of ATF family in the treatment of Alzheimer's disease
Yang, T., Zhang, Y., Chen, L., Thomas, E. R., Yu, W., Cheng, B., & Li, X. (2023) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2023.114544 · Cited by 30
Heavy Metals in Umbilical Cord Blood: Effects on Epigenetics and Child Development
Dutta, S., & Ruden, D. M. (2024) · Cells · doi:10.3390/cells13211775 · Cited by 30
Castells, M., Madden, M., & Oskeritzian, C. A. (2024) · Current Allergy and Asthma Reports · doi:10.1007/s11882-024-01183-5 · Cited by 30
Tseng, H.-Y., Thorausch, N., Ziegler, T., Meves, A., Fässler, R., & Böttcher, R. T. (2014) · Journal of Molecular Biology · doi:10.1016/j.jmb.2014.07.003 · Cited by 34
Ekong, R., Nellist, M. D., Hoogeveen‐Westerveld, M., Wentink, M. W. J., Panzer, J. A., Sparagana, S. P., Emmett, W., Dawson, N. L., Malinge, M. C., Nabbout, R., et al. (2015) · Human Mutation · doi:10.1002/humu.22951 · Cited by 29
Luo, Y., Furuya, S., Soldatow, V. Y., Kosyk, O., Yoo, H. S., Fukushima, H., Lewis, L., Iwata, Y., & Rusyn, I. (2018) · Toxicological Sciences · doi:10.1093/toxsci/kfy099 · Cited by 31
Almeida, F., Luís, M. P., Pereira, I. S., Pais, S. V., & Mota, L. J. (2018) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2018.00254 · Cited by 30
Transferrin isoforms in cerebrospinal fluid and their relation to neurological diseases
Murakami, Y., Saito, K., Ito, H., & Hashimoto, Y. (2019) · Proceedings of the Japan Academy Series B · doi:10.2183/pjab.95.015 · Cited by 30
Rahman, M. H., Peng, S., Hu, X., Chen, C., Uddin, S., Quinn, J. M. W., & Moni, M. A. (2019) · IEEE Access · doi:10.1109/access.2019.2960037 · Cited by 30
Pérot, B. P., & Ménager, M. M. (2020) · Medical Microbiology and Immunology · doi:10.1007/s00430-020-00681-3 · Cited by 29
Sun, J., Lu, Y., Nozawa, K., Xu, Z., Morohoshi, A., Castaneda, J. M., Noda, T., Miyata, H., Abbasi, F., Shawki, H. H., et al. (2020) · Biology of Reproduction · doi:10.1093/biolre/ioaa083 · Cited by 31
Chen, C., Zong, M., Lü, Y., Guo, Y., Lv, H., Xie, L., Fu, Z., Cheng, Y., Si, Y., Ye, B., et al. (2020) · Journal of Cellular and Molecular Medicine · doi:10.1111/jcmm.15740 · Cited by 30
Neuronal Glycoprotein M6a: An Emerging Molecule in Chemical Synapse Formation and Dysfunction
León, A., Aparicio, G. I., & Scorticati, C. (2021) · Frontiers in Synaptic Neuroscience · doi:10.3389/fnsyn.2021.661681 · Cited by 29
Corral-Vázquez, C., Blanco, J., Cigliano, R. A., Sarrate, Z., Rivera‐Egea, R., Vidal, F., Garrido, N., Daub, C. O., & Antón, E. (2021) · Molecular Human Reproduction · doi:10.1093/molehr/gaab035 · Cited by 31
The prognostic value of an autophagy-related lncRNA signature in hepatocellular carcinoma
Yang, S., Zhou, Y., Zhang, X., Wang, L., Fu, J., Zhao, X., & Liu, Y. (2021) · BMC Bioinformatics · doi:10.1186/s12859-021-04123-6 · Cited by 30
Pirozzi, F., Lee, B., Horsley, N., Burkardt, D. D., Dobyns, W. B., Graham, J. M., Dentici, M. L., Cesario, C., Schallner, J., Porrmann, J., et al. (2021) · American Journal of Medical Genetics Part A · doi:10.1002/ajmg.a.62362 · Cited by 30
The testis-specific E3 ubiquitin ligase RNF133 is required for fecundity in mice
Nozawa, K., Fujihara, Y., Devlin, D. J., Deras, R. E., Kent, K., Larina, I. V., Umezu, K., Yu, Z., Sutton, C. M., Ye, Q., et al. (2022) · BMC Biology · doi:10.1186/s12915-022-01368-2 · Cited by 30
Protasova, M., Grigorenko, A. P., Tyazhelova, T. V., Андреева, Т. В., Reshetov, D. A., Gusev, F. E., Laptenko, A. E., Kuznetsova, I. L., Goltsov, A. Y., Klyushnikov, S. A., et al. (2015) · European Journal of Human Genetics · doi:10.1038/ejhg.2015.139 · Cited by 30
Petit, F. G., Kervarrec, C., Jamin, S. P., Smagulova, F. O., Hao, C., Becker, E., Jégou, B., Chalmel, F., & Primig, M. (2015) · Biology of Reproduction · doi:10.1095/biolreprod.114.126250 · Cited by 30
Nutsford, A. N., Galvin, H. D., Ahmed, F., & Husain, M. (2018) · Cellular Microbiology · doi:10.1111/cmi.12989 · Cited by 31
Molecular signatures of chronic periodontitis in gingiva: A genomic and proteomic analysis
Guzeldemir-Akcakanat, E., Alkan, B., Akkoyunlu, D. S., Gürel, B., Balta‐Uysal, V. M., Kan, B., Akgün, E., Yılmaz, E. B., Baykal, A. T., Çine, N., et al. (2019) · Journal of Periodontology · doi:10.1002/jper.18-0477 · Cited by 30
Oncogenic SRSF3 in health and diseases
Jia, R., & Zheng, Z. (2023) · International Journal of Biological Sciences · doi:10.7150/ijbs.83368 · Cited by 29
Antiviral responses in a Jamaican fruit bat intestinal organoid model of SARS-CoV-2 infection
Hashimi, M., Sebrell, T. A., Hedges, J. F., Snyder, D. T., Lyon, K. N., Byrum, S. D., Mackintosh, S. G., Crowley, D. E., Cherne, M. D., Skwarchuk, D., et al. (2023) · Nature Communications · doi:10.1038/s41467-023-42610-x · Cited by 28
Specificity of CRISPR-Cas9 Editing in Exagamglogene Autotemcel
Yen, A., Zappala, Z., Fine, R. S., Majarian, T. D., Sripakdeevong, P., & Altshuler, D. (2024) · New England Journal of Medicine · doi:10.1056/nejmc2313119 · Cited by 30
Single intramuscular injection of self-amplifying RNA of Nppa to treat myocardial infarction
Zhang, K., Tao, H., Zhu, D., Yue, Z., Hu, S., Wu, Y., Yan, N., Hu, Y., Liu, S., Liu, M., et al. (2026) · Science · doi:10.1126/science.adu9394 · Cited by 30
Transcriptomic variation of pharmacogenes in multiple human tissues and lymphoblastoid cell lines
Chhibber, A., French, C. E., Yee, S. W., Gamazon, E. R., Theusch, E., Qin, X., Webb, A., Papp, A. C., Wang, A., Simmons, C. Q., et al. (2016) · The Pharmacogenomics Journal · doi:10.1038/tpj.2015.93 · Cited by 29
Linc02527 promoted autophagy in Intrahepatic cholestasis of pregnancy
Hu, J., Liu, L., Gong, Y., Zhang, L., Gan, X., Luo, X., Yu, T., Zhong, X., Deng, X., Hu, L., et al. (2018) · Cell Death and Disease · doi:10.1038/s41419-018-1013-z · Cited by 29
DNA methylation among firefighters
Zhou, J., Jenkins, T. G., Jung, A. M., Jeong, K. S., Zhai, J., Jacobs, E. T., Griffin, S. C., Dearmon-Moore, D., Littau, S. R., Peate, W. F., et al. (2019) · PLoS ONE · doi:10.1371/journal.pone.0214282 · Cited by 30
Shriwash, N., Singh, P. K., Arora, S., Ali, S. M., Ali, S., & Dohare, R. (2019) · Heliyon · doi:10.1016/j.heliyon.2019.e01707 · Cited by 29
Can trophectoderm RNA analysis predict human blastocyst competency?
Ntostis, P., Kokkali, G., Iles, D., Huntriss, J., Tzetis, M., Picton, H. M., Pantos, K., & Miller, D. (2019) · Systems Biology in Reproductive Medicine · doi:10.1080/19396368.2019.1625085 · Cited by 29
Huang, L., Jiang, X., Kang, P., Wang, Z., Leng, K., Ji, D., Xu, Y., Wang, H., & Cui, Y. (2019) · Cancer Management and Research · doi:10.2147/cmar.s207801 · Cited by 29
Fernandez, A. J., Daniel, E. J. P., Mahajan, S. P., Gray, J. J., Gerken, T. A., Tabak, L. A., & Samara, N. L. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1902211116 · Cited by 29
Genotype-dependent epigenetic regulation of DLGAP2 in alcohol use and dependence
Meng, W., Sjöholm, L. K., Kononenko, O., Tay, N., Zhang, D., Sarkisyan, D., Geske, J. R., Ing, A., Qiu, W., Watanabe, H., et al. (2019) · Molecular Psychiatry · doi:10.1038/s41380-019-0588-9 · Cited by 30
van Reij, R. R. I., Hoofwijk, D. M. N., Rutten, B. P. F., Weinhold, L., Leber, M., Joosten, E. A. J., Ramı́rez, A., van den Hoogen, N. J., & the Italian Pain Group (2020) · Anaesthesia · doi:10.1111/anae.14832 · Cited by 29
Genomic and epigenomic EBF1 alterations modulate TERT expression in gastric cancer
Xing, M., Ooi, W. F., Tan, J. Y., Qamra, A., Lee, P.-H., Li, Z., Xu, C., Padmanabhan, N., Lim, J. Q., Guo, Y. A., et al. (2020) · Journal of Clinical Investigation · doi:10.1172/jci126726 · Cited by 30
Whole-Exome Sequencing Analysis of Alzheimer’s Disease in Non-APOE*4 Carriers
Fan, K.-H., Feingold, E., Rosenthal, S. L., Demirci, F. Y., Ganguli, M., López, O. L., & Kamboh, M. I. (2020) · Journal of Alzheimer s Disease · doi:10.3233/jad-200037 · Cited by 27
Landini, A., Yu, S., Gnecchi‐Ruscone, G. A., Abondio, P., Ojeda‐Granados, C., Sarno, S., Fanti, S. D., Gentilini, D., Blasio, A. M. D., Jin, H., et al. (2020) · Evolutionary Applications · doi:10.1111/eva.13090 · Cited by 33
Liu, H., Ma, Y., Yang, C., Xia, S., Pan, Q., Zhao, H., Fang, W., Chen, X., Zhang, Y., Zou, B., et al. (2020) · Clinical & Translational Immunology · doi:10.1002/cti2.1154 · Cited by 31
Distinct circular RNA expression profiles in pediatric ependymomas
Ahmadov, U., Bendikas, M. M., Ebbesen, K. K., Sehested, A. M., Kjems, J., Broholm, H., & Kristensen, L. S. (2020) · Brain Pathology · doi:10.1111/bpa.12922 · Cited by 30
Kunitomi, C., Harada, M., Kusamoto, A., Azhary, J. M. K., Nose, E., Koike, H., Xu, Z., Urata, Y., Takahashi, N., Wada‐Hiraike, O., et al. (2021) · Molecular Human Reproduction · doi:10.1093/molehr/gaab003 · Cited by 29
Enhancer Pleiotropy, Gene Expression, and the Architecture of Human Enhancer–Gene Interactions
Singh, D., & Yi, S. V. (2021) · Molecular Biology and Evolution · doi:10.1093/molbev/msab085 · Cited by 29
Metadata
- Authors
- Fagerberg, L., Hallström, B. M., Oksvold, P., Kampf, C., Djureinovic, D., Odeberg, J., Habuka, M., Tahmasebpoor, S., Danielsson, A., Edlund, K., Asplund, A., Sjöstedt, E., Lundberg, E., Szigyarto, C. A.-K., Skogs, M., Takanen, J. O., Berling, H., Tegel, H., Mulder, J., Nilsson, P., Schwenk, J. M., Lindskog, C., Danielsson, F., Mardinoglu, A., Sivertsson, Å., von Feilitzen, K., Forsberg, M., Zwahlen, M., Olsson, I., Navani, S., Huss, M., Nielsen, J., Ponten, F., & Uhlén, M.
- Affiliations
- Science for Life Laboratory (SE)
- Uppsala University (SE)
- KTH Royal Institute of Technology (SE)
- Corresponding author
- Uhlén, Mathias
- ORCID
- Venue
- Molecular & Cellular Proteomics
- Publisher
- Elsevier BV
- Published
- 2014-02
- Volume
- 13
- Issue
- 2
- Pages
- 397-406
- ISSN
- 1535-9476 (ISSN-L)
- PMC
- PMC3916642
- OpenAlex
- W2167898988
- Cited by
- 3,665
- References
- 28
- Citations by year
- 2026: 163 · 2025: 292 · 2024: 458 · 2023: 422 · 2022: 438 · 2021: 474 · 2020: 528 · 2019: 387 · 2018: 255 · 2017: 105 · 2016: 43 · 2015: 64 · 2014: 28
- FWCI
- 20.19
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Molecular & Cellular Proteomics (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Chalmers Research (Chalmers University of Technology) (submittedVersion)
- Chalmers Publication Library (Chalmers University of Technology) (submittedVersion)
- Funders
- Knut och Alice Wallenbergs Stiftelse
- Science for Life Laboratory
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Bioinformatics and Genomic Networks
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Gene expression and cancer classification
- Physical Sciences › Chemistry › Spectroscopy › Advanced Proteomics Techniques and Applications
- Keywords
- tissue-specific gene expression, spatial expression patterns, Human Protein Atlas, RNA-seq, antibody-based proteomics, protein-coding genes, human organs, gene expression atlas
- MeSH terms
- Antibodies, Female, Humans, Male, Organ Specificity, Proteins, Gene Expression, Systems Integration, Proteome, Gene Expression Profiling, Genomics, Proteomics, Tissue Array Analysis, Gene Regulatory Networks, Transcriptome
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review