The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
HiRIEF LC-MS enables deep proteome coverage and unbiased proteogenomics
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Cites
Landscape of transcription in human cells
Djebali, S., Davis, C. A., Merkel, A., Dobin, A., Lassmann, T., Mortazavi, A., Tanzer, A., Lagarde, J., Lin, W., Schlesinger, F., et al. (2012) · Nature · doi:10.1038/nature11233 · Cited by 5,187
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A high-resolution map of human evolutionary constraint using 29 mammals
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An Abundance of Ubiquitously Expressed Genes Revealed by Tissue Transcriptome Sequence Data
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The quantitative proteome of a human cell line
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Myosin gene mutation correlates with anatomical changes in the human lineage
Stedman, H. H., Kozyak, B. W., Nelson, A., Thesier, D. M., Su, L. T., Low, D. W., Bridges, C. R., Shrager, J. B., Minugh-Purvis, N., & Mitchell, M. A. (2004) · Nature · doi:10.1038/nature02358 · Cited by 398
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De novo derivation of proteomes from transcriptomes for transcript and protein identification
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Brosch, M., Saunders, G. I., Frankish, A., Collins, M. O., Yu, L., Wright, J., Verstraten, R., Adams, D. J., Harrow, J., Choudhary, J. S., et al. (2011) · Genome Research · doi:10.1101/gr.114272.110 · Cited by 130
Cited by
A draft map of the human proteome
Kim, M.-S., Pinto, S. M., Getnet, D., Nirujogi, R. S., Manda, S. S., Chaerkady, R., Madugundu, A. K., Kelkar, D. S., Isserlin, R., Jain, S., et al. (2014) · Nature · doi:10.1038/nature13302 · Cited by 2,198
A deep proteome and transcriptome abundance atlas of 29 healthy human tissues
Wang, D., Eraslan, B., Wieland, T., Hallström, B., Hopf, T., Zolg, D. P., Zecha, J., Asplund, A., Li, L., Meng, C., et al. (2019) · Molecular Systems Biology · doi:10.15252/msb.20188503 · Cited by 750
An Optimized Shotgun Strategy for the Rapid Generation of Comprehensive Human Proteomes
Bekker-Jensen, D. B., Kelstrup, C. D., Batth, T. S., Larsen, S. C., Haldrup, C., Bramsen, J. B., Sørensen, K. D., Høyer, S., Ørntoft, T. F., Andersen, C. L., et al. (2017) · Cell Systems · doi:10.1016/j.cels.2017.05.009 · Cited by 490
Discovery and characterization of smORF-encoded bioactive polypeptides
Saghatelian, A., & Couso, J. P. (2015) · Nature Chemical Biology · doi:10.1038/nchembio.1964 · Cited by 286
Synaptic markers of cognitive decline in neurodegenerative diseases: a proteomic approach
Bereczki, E., Branca, R. M., Francis, P. T., Pereira, J. B., Baek, J.-H., Hortobágyi, T., Winblad, B., Ballard, C., Lehtiö, J., & Aarsland, D. (2018) · Brain · doi:10.1093/brain/awx352 · Cited by 220
Self-citation
Metadata
- Authors
- Branca, R. M. M., Orre, L. M., Johansson, H. J., Granholm, V., Huss, M., Pérez-Bercoff, Å., Forshed, J., Käll, L., & Lehtiö, J.
- Venue
- Nature Methods
- Published
- 2013-11-17
- Volume
- 11
- Issue
- 1
- Pages
- 59-62
- ISSN
- 1548-7091 (ISSN-L)
- 1548-7105
- OpenAlex
- W2079563665
- Cited by
- 269
- References
- 12
- FWCI
- 11.56
- Type
- journal article
- Language
- en
- Open access
- green
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.