Advanced Search
Display options
Filter resources
Text Availability
Article type
Publication date
Species
Language
Sex
Age
Showing 1 to 12 of 15 entries
Sorted by: Best Match Show Resources per page
Covariance-based analyses of biological pathways.

Biometrika

Danaher P, Paul D, Wang P.
PMID: 26412865
Biometrika. 2015 Sep 01;102(3):533-544. doi: 10.1093/biomet/asv013.

The use of high-throughput data to study the changing behavior of biological pathways has focused mainly on examining the changes in the means of pathway genes. In this paper, we propose instead to test for changes in the co-regulated...

Cite
Danaher P, Paul D, Wang P. Covariance-based analyses of biological pathways. Biometrika. 2015;102(3):533-544doi: 10.1093/biomet/asv013.
Danaher, P., Paul, D., & Wang, P. (2015). Covariance-based analyses of biological pathways. Biometrika, 102(3), 533-544. https://doi.org/10.1093/biomet/asv013
Danaher, P, et al. "Covariance-based analyses of biological pathways." Biometrika vol. 102,3 (2015): 533-544. doi: https://doi.org/10.1093/biomet/asv013
Danaher P, Paul D, Wang P. Covariance-based analyses of biological pathways. Biometrika. 2015 Sep 01;102(3):533-544. doi: 10.1093/biomet/asv013. PMID: 26412865; PMCID: PMC4581526.
Copy Download .nbib Format: NLM
CCmed: Cross-condition mediation analysis for identifying replicable trans-associations mediated by cis-gene expression.

Bioinformatics (Oxford, England)

Yang F, Gleason KJ, Wang J, Duan J, He X, Pierce BL, Chen LS.
PMID: 33647928
Bioinformatics. 2021 Feb 27; doi: 10.1093/bioinformatics/btab139. Epub 2021 Feb 27.

MOTIVATION: Trans-acting expression quantitative trait loci (eQTLs) collectively explain a substantial proportion of expression variation, yet are challenging to detect and replicate since their effects are often individually weak. A large proportion of genetic effects on distal genes are...

Cite
Yang F, Gleason KJ, Wang J, et al. CCmed: Cross-condition mediation analysis for identifying replicable trans-associations mediated by cis-gene expression. Bioinformatics. 2021;doi: 10.1093/bioinformatics/btab139.
Yang, F., Gleason, K. J., Wang, J., Duan, J., He, X., Pierce, B. L., & Chen, L. S. (2021). CCmed: Cross-condition mediation analysis for identifying replicable trans-associations mediated by cis-gene expression. Bioinformatics (Oxford, England), . https://doi.org/10.1093/bioinformatics/btab139
Yang, Fan, et al. "CCmed: Cross-condition mediation analysis for identifying replicable trans-associations mediated by cis-gene expression." Bioinformatics (Oxford, England) vol. (2021). doi: https://doi.org/10.1093/bioinformatics/btab139
Yang F, Gleason KJ, Wang J, Duan J, He X, Pierce BL, Chen LS. CCmed: Cross-condition mediation analysis for identifying replicable trans-associations mediated by cis-gene expression. Bioinformatics. 2021 Feb 27; doi: 10.1093/bioinformatics/btab139. Epub 2021 Feb 27. PMID: 33647928; PMCID: PMC8428610.
Copy Download .nbib Format: NLM
A highly annotated database of genes associated with platinum resistance in cancer.

Oncogene

Huang D, Savage SR, Calinawan AP, Lin C, Zhang B, Wang P, Starr TK, Birrer MJ, Paulovich AG.
PMID: 34645978
Oncogene. 2021 Nov;40(46):6395-6405. doi: 10.1038/s41388-021-02055-2. Epub 2021 Oct 13.

Platinum-based chemotherapy, including cisplatin, carboplatin, and oxaliplatin, is prescribed to 10-20% of all cancer patients. Unfortunately, platinum resistance develops in a significant number of patients and is a determinant of clinical outcome. Extensive research has been conducted to understand...

Cite
Huang D, Savage SR, Calinawan AP, et al. A highly annotated database of genes associated with platinum resistance in cancer. Oncogene. 2021;40(46):6395-6405doi: 10.1038/s41388-021-02055-2.
Huang, D., Savage, S. R., Calinawan, A. P., Lin, C., Zhang, B., Wang, P., Starr, T. K., Birrer, M. J., & Paulovich, A. G. (2021). A highly annotated database of genes associated with platinum resistance in cancer. Oncogene, 40(46), 6395-6405. https://doi.org/10.1038/s41388-021-02055-2
Huang, Dongqing, et al. "A highly annotated database of genes associated with platinum resistance in cancer." Oncogene vol. 40,46 (2021): 6395-6405. doi: https://doi.org/10.1038/s41388-021-02055-2
Huang D, Savage SR, Calinawan AP, Lin C, Zhang B, Wang P, Starr TK, Birrer MJ, Paulovich AG. A highly annotated database of genes associated with platinum resistance in cancer. Oncogene. 2021 Nov;40(46):6395-6405. doi: 10.1038/s41388-021-02055-2. Epub 2021 Oct 13. PMID: 34645978; PMCID: PMC8602037.
Copy Download .nbib Format: NLM
Single-cell analysis of human non-small cell lung cancer lesions refines tumor classification and patient stratification.

Cancer cell

Leader AM, Grout JA, Maier BB, Nabet BY, Park MD, Tabachnikova A, Chang C, Walker L, Lansky A, Le Berichel J, Troncoso L, Malissen N, Davila M, Martin JC, Magri G, Tuballes K, Zhao Z, Petralia F, Samstein R, D'Amore NR, Thurston G, Kamphorst AO, Wolf A, Flores R, Wang P, Müller S, Mellman I, Beasley MB, Salmon H, Rahman AH, Marron TU, Kenigsberg E, Merad M.
PMID: 34767762
Cancer Cell. 2021 Dec 13;39(12):1594-1609.e12. doi: 10.1016/j.ccell.2021.10.009. Epub 2021 Nov 11.

Immunotherapy is a mainstay of non-small cell lung cancer (NSCLC) management. While tumor mutational burden (TMB) correlates with response to immunotherapy, little is known about the relationship between the baseline immune response and tumor genotype. Using single-cell RNA sequencing,...

Cite
Leader AM, Grout JA, Maier BB, et al. Single-cell analysis of human non-small cell lung cancer lesions refines tumor classification and patient stratification. Cancer Cell. 2021;39(12):1594-1609.e12doi: 10.1016/j.ccell.2021.10.009.
Leader, A. M., Grout, J. A., Maier, B. B., Nabet, B. Y., Park, M. D., Tabachnikova, A., Chang, C., Walker, L., Lansky, A., Le Berichel, J., Troncoso, L., Malissen, N., Davila, M., Martin, J. C., Magri, G., Tuballes, K., Zhao, Z., Petralia, F., Samstein, R., D'Amore, N. R., Thurston, G., Kamphorst, A. O., Wolf, A., Flores, R., Wang, P., Müller, S., Mellman, I., Beasley, M. B., Salmon, H., Rahman, A. H., Marron, T. U., Kenigsberg, E., & Merad, M. (2021). Single-cell analysis of human non-small cell lung cancer lesions refines tumor classification and patient stratification. Cancer cell, 39(12), 1594-1609.e12. https://doi.org/10.1016/j.ccell.2021.10.009
Leader, Andrew M, et al. "Single-cell analysis of human non-small cell lung cancer lesions refines tumor classification and patient stratification." Cancer cell vol. 39,12 (2021): 1594-1609.e12. doi: https://doi.org/10.1016/j.ccell.2021.10.009
Leader AM, Grout JA, Maier BB, Nabet BY, Park MD, Tabachnikova A, Chang C, Walker L, Lansky A, Le Berichel J, Troncoso L, Malissen N, Davila M, Martin JC, Magri G, Tuballes K, Zhao Z, Petralia F, Samstein R, D'Amore NR, Thurston G, Kamphorst AO, Wolf A, Flores R, Wang P, Müller S, Mellman I, Beasley MB, Salmon H, Rahman AH, Marron TU, Kenigsberg E, Merad M. Single-cell analysis of human non-small cell lung cancer lesions refines tumor classification and patient stratification. Cancer Cell. 2021 Dec 13;39(12):1594-1609.e12. doi: 10.1016/j.ccell.2021.10.009. Epub 2021 Nov 11. PMID: 34767762.
Copy Download .nbib Format: NLM
IGREX for quantifying the impact of genetically regulated expression on phenotypes.

NAR genomics and bioinformatics

Cai M, Chen LS, Liu J, Yang C.
PMID: 32118202
NAR Genom Bioinform. 2020 Mar;2(1):lqaa010. doi: 10.1093/nargab/lqaa010. Epub 2020 Feb 19.

By leveraging existing GWAS and eQTL resources, transcriptome-wide association studies (TWAS) have achieved many successes in identifying trait-associations of genetically regulated expression (GREX) levels. TWAS analysis relies on the shared GREX variation across GWAS and the reference eQTL data,...

Cite
Cai M, Chen LS, Liu J, et al. IGREX for quantifying the impact of genetically regulated expression on phenotypes. NAR Genom Bioinform. 2020;2(1):lqaa010doi: 10.1093/nargab/lqaa010.
Cai, M., Chen, L. S., Liu, J., & Yang, C. (2020). IGREX for quantifying the impact of genetically regulated expression on phenotypes. NAR genomics and bioinformatics, 2(1), lqaa010. https://doi.org/10.1093/nargab/lqaa010
Cai, Mingxuan, et al. "IGREX for quantifying the impact of genetically regulated expression on phenotypes." NAR genomics and bioinformatics vol. 2,1 (2020): lqaa010. doi: https://doi.org/10.1093/nargab/lqaa010
Cai M, Chen LS, Liu J, Yang C. IGREX for quantifying the impact of genetically regulated expression on phenotypes. NAR Genom Bioinform. 2020 Mar;2(1):lqaa010. doi: 10.1093/nargab/lqaa010. Epub 2020 Feb 19. PMID: 32118202; PMCID: PMC7034630.
Copy Download .nbib Format: NLM
Proteogenomic characterization of pancreatic ductal adenocarcinoma.

Cell

Cao L, Huang C, Cui Zhou D, Hu Y, Lih TM, Savage SR, Krug K, Clark DJ, Schnaubelt M, Chen L, da Veiga Leprevost F, Eguez RV, Yang W, Pan J, Wen B, Dou Y, Jiang W, Liao Y, Shi Z, Terekhanova NV, Cao S, Lu RJ, Li Y, Liu R, Zhu H, Ronning P, Wu Y, Wyczalkowski MA, Easwaran H, Danilova L, Mer AS, Yoo S, Wang JM, Liu W, Haibe-Kains B, Thiagarajan M, Jewell SD, Hostetter G, Newton CJ, Li QK, Roehrl MH, Fenyö D, Wang P, Nesvizhskii AI, Mani DR, Omenn GS, Boja ES, Mesri M, Robles AI, Rodriguez H, Bathe OF, Chan DW, Hruban RH, Ding L, Zhang B, Zhang H.
PMID: 34534465
Cell. 2021 Sep 16;184(19):5031-5052.e26. doi: 10.1016/j.cell.2021.08.023.

Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive cancer with poor patient survival. Toward understanding the underlying molecular alterations that drive PDAC oncogenesis, we conducted comprehensive proteogenomic analysis of 140 pancreatic cancers, 67 normal adjacent tissues, and 9 normal...

Cite
Cao L, Huang C, Cui Zhou D, et al. Proteogenomic characterization of pancreatic ductal adenocarcinoma. Cell. 2021;184(19):5031-5052.e26doi: 10.1016/j.cell.2021.08.023.
Cao, L., Huang, C., Cui Zhou, D., Hu, Y., Lih, T. M., Savage, S. R., Krug, K., Clark, D. J., Schnaubelt, M., Chen, L., da Veiga Leprevost, F., Eguez, R. V., Yang, W., Pan, J., Wen, B., Dou, Y., Jiang, W., Liao, Y., Shi, Z., Terekhanova, N. V., Cao, S., Lu, R. J., Li, Y., Liu, R., Zhu, H., Ronning, P., Wu, Y., Wyczalkowski, M. A., Easwaran, H., Danilova, L., Mer, A. S., Yoo, S., Wang, J. M., Liu, W., Haibe-Kains, B., Thiagarajan, M., Jewell, S. D., Hostetter, G., Newton, C. J., Li, Q. K., Roehrl, M. H., Fenyö, D., Wang, P., Nesvizhskii, A. I., Mani, D. R., Omenn, G. S., Boja, E. S., Mesri, M., Robles, A. I., Rodriguez, H., Bathe, O. F., Chan, D. W., Hruban, R. H., Ding, L., Zhang, B., Zhang, H. (2021). Proteogenomic characterization of pancreatic ductal adenocarcinoma. Cell, 184(19), 5031-5052.e26. https://doi.org/10.1016/j.cell.2021.08.023
Cao, Liwei, et al. "Proteogenomic characterization of pancreatic ductal adenocarcinoma." Cell vol. 184,19 (2021): 5031-5052.e26. doi: https://doi.org/10.1016/j.cell.2021.08.023
Cao L, Huang C, Cui Zhou D, Hu Y, Lih TM, Savage SR, Krug K, Clark DJ, Schnaubelt M, Chen L, da Veiga Leprevost F, Eguez RV, Yang W, Pan J, Wen B, Dou Y, Jiang W, Liao Y, Shi Z, Terekhanova NV, Cao S, Lu RJ, Li Y, Liu R, Zhu H, Ronning P, Wu Y, Wyczalkowski MA, Easwaran H, Danilova L, Mer AS, Yoo S, Wang JM, Liu W, Haibe-Kains B, Thiagarajan M, Jewell SD, Hostetter G, Newton CJ, Li QK, Roehrl MH, Fenyö D, Wang P, Nesvizhskii AI, Mani DR, Omenn GS, Boja ES, Mesri M, Robles AI, Rodriguez H, Bathe OF, Chan DW, Hruban RH, Ding L, Zhang B, Zhang H. Proteogenomic characterization of pancreatic ductal adenocarcinoma. Cell. 2021 Sep 16;184(19):5031-5052.e26. doi: 10.1016/j.cell.2021.08.023. PMID: 34534465; PMCID: PMC8654574.
Copy Download .nbib Format: NLM
A highly annotated database of genes associated with platinum resistance in cancer.

Oncogene

Huang D, Savage SR, Calinawan AP, Lin C, Zhang B, Wang P, Starr TK, Birrer MJ, Paulovich AG.
PMID: 34645978
Oncogene. 2021 Nov;40(46):6395-6405. doi: 10.1038/s41388-021-02055-2. Epub 2021 Oct 13.

Platinum-based chemotherapy, including cisplatin, carboplatin, and oxaliplatin, is prescribed to 10-20% of all cancer patients. Unfortunately, platinum resistance develops in a significant number of patients and is a determinant of clinical outcome. Extensive research has been conducted to understand...

Cite
Huang D, Savage SR, Calinawan AP, et al. A highly annotated database of genes associated with platinum resistance in cancer. Oncogene. 2021;40(46):6395-6405doi: 10.1038/s41388-021-02055-2.
Huang, D., Savage, S. R., Calinawan, A. P., Lin, C., Zhang, B., Wang, P., Starr, T. K., Birrer, M. J., & Paulovich, A. G. (2021). A highly annotated database of genes associated with platinum resistance in cancer. Oncogene, 40(46), 6395-6405. https://doi.org/10.1038/s41388-021-02055-2
Huang, Dongqing, et al. "A highly annotated database of genes associated with platinum resistance in cancer." Oncogene vol. 40,46 (2021): 6395-6405. doi: https://doi.org/10.1038/s41388-021-02055-2
Huang D, Savage SR, Calinawan AP, Lin C, Zhang B, Wang P, Starr TK, Birrer MJ, Paulovich AG. A highly annotated database of genes associated with platinum resistance in cancer. Oncogene. 2021 Nov;40(46):6395-6405. doi: 10.1038/s41388-021-02055-2. Epub 2021 Oct 13. PMID: 34645978; PMCID: PMC8602037.
Copy Download .nbib Format: NLM
A proteogenomic portrait of lung squamous cell carcinoma.

Cell

Satpathy S, Krug K, Jean Beltran PM, Savage SR, Petralia F, Kumar-Sinha C, Dou Y, Reva B, Kane MH, Avanessian SC, Vasaikar SV, Krek A, Lei JT, Jaehnig EJ, Omelchenko T, Geffen Y, Bergstrom EJ, Stathias V, Christianson KE, Heiman DI, Cieslik MP, Cao S, Song X, Ji J, Liu W, Li K, Wen B, Li Y, Gümüş ZH, Selvan ME, Soundararajan R, Visal TH, Raso MG, Parra ER, Babur Ö, Vats P, Anand S, Schraink T, Cornwell M, Rodrigues FM, Zhu H, Mo CK, Zhang Y, da Veiga Leprevost F, Huang C, Chinnaiyan AM, Wyczalkowski MA, Omenn GS, Newton CJ, Schurer S, Ruggles KV, Fenyö D, Jewell SD, Thiagarajan M, Mesri M, Rodriguez H, Mani SA, Udeshi ND, Getz G, Suh J, Li QK, Hostetter G, Paik PK, Dhanasekaran SM, Govindan R, Ding L, Robles AI, Clauser KR, Nesvizhskii AI, Wang P, Carr SA, Zhang B, Mani DR, Gillette MA.
PMID: 34358469
Cell. 2021 Aug 05;184(16):4348-4371.e40. doi: 10.1016/j.cell.2021.07.016.

Lung squamous cell carcinoma (LSCC) remains a leading cause of cancer death with few therapeutic options. We characterized the proteogenomic landscape of LSCC, providing a deeper exposition of LSCC biology with potential therapeutic implications. We identify NSD3 as an...

Cite
Satpathy S, Krug K, Jean Beltran PM, et al. A proteogenomic portrait of lung squamous cell carcinoma. Cell. 2021;184(16):4348-4371.e40doi: 10.1016/j.cell.2021.07.016.
Satpathy, S., Krug, K., Jean Beltran, P. M., Savage, S. R., Petralia, F., Kumar-Sinha, C., Dou, Y., Reva, B., Kane, M. H., Avanessian, S. C., Vasaikar, S. V., Krek, A., Lei, J. T., Jaehnig, E. J., Omelchenko, T., Geffen, Y., Bergstrom, E. J., Stathias, V., Christianson, K. E., Heiman, D. I., Cieslik, M. P., Cao, S., Song, X., Ji, J., Liu, W., Li, K., Wen, B., Li, Y., Gümüş, Z. H., Selvan, M. E., Soundararajan, R., Visal, T. H., Raso, M. G., Parra, E. R., Babur, �. �., Vats, P., Anand, S., Schraink, T., Cornwell, M., Rodrigues, F. M., Zhu, H., Mo, C. K., Zhang, Y., da Veiga Leprevost, F., Huang, C., Chinnaiyan, A. M., Wyczalkowski, M. A., Omenn, G. S., Newton, C. J., Schurer, S., Ruggles, K. V., Fenyö, D., Jewell, S. D., Thiagarajan, M., Mesri, M., Rodriguez, H., Mani, S. A., Udeshi, N. D., Getz, G., Suh, J., Li, Q. K., Hostetter, G., Paik, P. K., Dhanasekaran, S. M., Govindan, R., Ding, L., Robles, A. I., Clauser, K. R., Nesvizhskii, A. I., Wang, P., Carr, S. A., Zhang, B., Mani, D. R., Gillette, M. A. (2021). A proteogenomic portrait of lung squamous cell carcinoma. Cell, 184(16), 4348-4371.e40. https://doi.org/10.1016/j.cell.2021.07.016
Satpathy, Shankha, et al. "A proteogenomic portrait of lung squamous cell carcinoma." Cell vol. 184,16 (2021): 4348-4371.e40. doi: https://doi.org/10.1016/j.cell.2021.07.016
Satpathy S, Krug K, Jean Beltran PM, Savage SR, Petralia F, Kumar-Sinha C, Dou Y, Reva B, Kane MH, Avanessian SC, Vasaikar SV, Krek A, Lei JT, Jaehnig EJ, Omelchenko T, Geffen Y, Bergstrom EJ, Stathias V, Christianson KE, Heiman DI, Cieslik MP, Cao S, Song X, Ji J, Liu W, Li K, Wen B, Li Y, Gümüş ZH, Selvan ME, Soundararajan R, Visal TH, Raso MG, Parra ER, Babur Ö, Vats P, Anand S, Schraink T, Cornwell M, Rodrigues FM, Zhu H, Mo CK, Zhang Y, da Veiga Leprevost F, Huang C, Chinnaiyan AM, Wyczalkowski MA, Omenn GS, Newton CJ, Schurer S, Ruggles KV, Fenyö D, Jewell SD, Thiagarajan M, Mesri M, Rodriguez H, Mani SA, Udeshi ND, Getz G, Suh J, Li QK, Hostetter G, Paik PK, Dhanasekaran SM, Govindan R, Ding L, Robles AI, Clauser KR, Nesvizhskii AI, Wang P, Carr SA, Zhang B, Mani DR, Gillette MA. A proteogenomic portrait of lung squamous cell carcinoma. Cell. 2021 Aug 05;184(16):4348-4371.e40. doi: 10.1016/j.cell.2021.07.016. PMID: 34358469; PMCID: PMC8475722.
Copy Download .nbib Format: NLM
ProTrack: An Interactive Multi-Omics Data Browser for Proteogenomic Studies.

Proteomics

Calinawan AP, Song X, Ji J, Dhanasekaran SM, Petralia F, Wang P, Reva B.
PMID: 32510176
Proteomics. 2020 Nov;20(21):e1900359. doi: 10.1002/pmic.201900359. Epub 2020 Aug 06.

The Clinical Proteomic Tumor Analysis Consortium (CPTAC) initiative has generated extensive multi-omics data resources of deep proteogenomic profiles for multiple cancer types. To enable the broader community of biological and medical researchers to intuitively query, explore, and download data...

Cite
Calinawan AP, Song X, Ji J, et al. ProTrack: An Interactive Multi-Omics Data Browser for Proteogenomic Studies. Proteomics. 2020;20(21):e1900359doi: 10.1002/pmic.201900359.
Calinawan, A. P., Song, X., Ji, J., Dhanasekaran, S. M., Petralia, F., Wang, P., & Reva, B. (2020). ProTrack: An Interactive Multi-Omics Data Browser for Proteogenomic Studies. Proteomics, 20(21), e1900359. https://doi.org/10.1002/pmic.201900359
Calinawan, Anna Pamela, et al. "ProTrack: An Interactive Multi-Omics Data Browser for Proteogenomic Studies." Proteomics vol. 20,21 (2020): e1900359. doi: https://doi.org/10.1002/pmic.201900359
Calinawan AP, Song X, Ji J, Dhanasekaran SM, Petralia F, Wang P, Reva B. ProTrack: An Interactive Multi-Omics Data Browser for Proteogenomic Studies. Proteomics. 2020 Nov;20(21):e1900359. doi: 10.1002/pmic.201900359. Epub 2020 Aug 06. PMID: 32510176; PMCID: PMC7677200.
Copy Download .nbib Format: NLM
A regularized multivariate regression approach for eQTL analysis.

Statistics in biosciences

Wang X, Qin L, Zhang H, Zhang Y, Hsu L, Wang P.
PMID: 26085849
Stat Biosci. 2015 May 01;7(1):129-146. doi: 10.1007/s12561-013-9106-9. Epub 2013 Nov 21.

Expression quantitative trait loci (eQTLs) are genomic loci that regulate expression levels of mRNAs or proteins. Understanding these regulatory provides important clues to biological pathways that underlie diseases. In this paper, we propose a new statistical method, GroupRemMap, for...

Cite
Wang X, Qin L, Zhang H, et al. A regularized multivariate regression approach for eQTL analysis. Stat Biosci. 2013;7(1):129-146doi: 10.1007/s12561-013-9106-9.
Wang, X., Qin, L., Zhang, H., Zhang, Y., Hsu, L., & Wang, P. (2015). A regularized multivariate regression approach for eQTL analysis. Statistics in biosciences, 7(1), 129-146. https://doi.org/10.1007/s12561-013-9106-9
Wang, Xianlong, et al. "A regularized multivariate regression approach for eQTL analysis." Statistics in biosciences vol. 7,1 (2015): 129-146. doi: https://doi.org/10.1007/s12561-013-9106-9
Wang X, Qin L, Zhang H, Zhang Y, Hsu L, Wang P. A regularized multivariate regression approach for eQTL analysis. Stat Biosci. 2015 May 01;7(1):129-146. doi: 10.1007/s12561-013-9106-9. Epub 2013 Nov 21. PMID: 26085849; PMCID: PMC4465818.
Copy Download .nbib Format: NLM
Proteogenomic characterization of pancreatic ductal adenocarcinoma.

Cell

Cao L, Huang C, Cui Zhou D, Hu Y, Lih TM, Savage SR, Krug K, Clark DJ, Schnaubelt M, Chen L, da Veiga Leprevost F, Eguez RV, Yang W, Pan J, Wen B, Dou Y, Jiang W, Liao Y, Shi Z, Terekhanova NV, Cao S, Lu RJ, Li Y, Liu R, Zhu H, Ronning P, Wu Y, Wyczalkowski MA, Easwaran H, Danilova L, Mer AS, Yoo S, Wang JM, Liu W, Haibe-Kains B, Thiagarajan M, Jewell SD, Hostetter G, Newton CJ, Li QK, Roehrl MH, Fenyö D, Wang P, Nesvizhskii AI, Mani DR, Omenn GS, Boja ES, Mesri M, Robles AI, Rodriguez H, Bathe OF, Chan DW, Hruban RH, Ding L, Zhang B, Zhang H.
PMID: 34534465
Cell. 2021 Sep 16;184(19):5031-5052.e26. doi: 10.1016/j.cell.2021.08.023.

Pancreatic ductal adenocarcinoma (PDAC) is a highly aggressive cancer with poor patient survival. Toward understanding the underlying molecular alterations that drive PDAC oncogenesis, we conducted comprehensive proteogenomic analysis of 140 pancreatic cancers, 67 normal adjacent tissues, and 9 normal...

Cite
Cao L, Huang C, Cui Zhou D, et al. Proteogenomic characterization of pancreatic ductal adenocarcinoma. Cell. 2021;184(19):5031-5052.e26doi: 10.1016/j.cell.2021.08.023.
Cao, L., Huang, C., Cui Zhou, D., Hu, Y., Lih, T. M., Savage, S. R., Krug, K., Clark, D. J., Schnaubelt, M., Chen, L., da Veiga Leprevost, F., Eguez, R. V., Yang, W., Pan, J., Wen, B., Dou, Y., Jiang, W., Liao, Y., Shi, Z., Terekhanova, N. V., Cao, S., Lu, R. J., Li, Y., Liu, R., Zhu, H., Ronning, P., Wu, Y., Wyczalkowski, M. A., Easwaran, H., Danilova, L., Mer, A. S., Yoo, S., Wang, J. M., Liu, W., Haibe-Kains, B., Thiagarajan, M., Jewell, S. D., Hostetter, G., Newton, C. J., Li, Q. K., Roehrl, M. H., Fenyö, D., Wang, P., Nesvizhskii, A. I., Mani, D. R., Omenn, G. S., Boja, E. S., Mesri, M., Robles, A. I., Rodriguez, H., Bathe, O. F., Chan, D. W., Hruban, R. H., Ding, L., Zhang, B., Zhang, H. (2021). Proteogenomic characterization of pancreatic ductal adenocarcinoma. Cell, 184(19), 5031-5052.e26. https://doi.org/10.1016/j.cell.2021.08.023
Cao, Liwei, et al. "Proteogenomic characterization of pancreatic ductal adenocarcinoma." Cell vol. 184,19 (2021): 5031-5052.e26. doi: https://doi.org/10.1016/j.cell.2021.08.023
Cao L, Huang C, Cui Zhou D, Hu Y, Lih TM, Savage SR, Krug K, Clark DJ, Schnaubelt M, Chen L, da Veiga Leprevost F, Eguez RV, Yang W, Pan J, Wen B, Dou Y, Jiang W, Liao Y, Shi Z, Terekhanova NV, Cao S, Lu RJ, Li Y, Liu R, Zhu H, Ronning P, Wu Y, Wyczalkowski MA, Easwaran H, Danilova L, Mer AS, Yoo S, Wang JM, Liu W, Haibe-Kains B, Thiagarajan M, Jewell SD, Hostetter G, Newton CJ, Li QK, Roehrl MH, Fenyö D, Wang P, Nesvizhskii AI, Mani DR, Omenn GS, Boja ES, Mesri M, Robles AI, Rodriguez H, Bathe OF, Chan DW, Hruban RH, Ding L, Zhang B, Zhang H. Proteogenomic characterization of pancreatic ductal adenocarcinoma. Cell. 2021 Sep 16;184(19):5031-5052.e26. doi: 10.1016/j.cell.2021.08.023. PMID: 34534465; PMCID: PMC8654574.
Copy Download .nbib Format: NLM
A proteogenomic portrait of lung squamous cell carcinoma.

Cell

Satpathy S, Krug K, Jean Beltran PM, Savage SR, Petralia F, Kumar-Sinha C, Dou Y, Reva B, Kane MH, Avanessian SC, Vasaikar SV, Krek A, Lei JT, Jaehnig EJ, Omelchenko T, Geffen Y, Bergstrom EJ, Stathias V, Christianson KE, Heiman DI, Cieslik MP, Cao S, Song X, Ji J, Liu W, Li K, Wen B, Li Y, Gümüş ZH, Selvan ME, Soundararajan R, Visal TH, Raso MG, Parra ER, Babur Ö, Vats P, Anand S, Schraink T, Cornwell M, Rodrigues FM, Zhu H, Mo CK, Zhang Y, da Veiga Leprevost F, Huang C, Chinnaiyan AM, Wyczalkowski MA, Omenn GS, Newton CJ, Schurer S, Ruggles KV, Fenyö D, Jewell SD, Thiagarajan M, Mesri M, Rodriguez H, Mani SA, Udeshi ND, Getz G, Suh J, Li QK, Hostetter G, Paik PK, Dhanasekaran SM, Govindan R, Ding L, Robles AI, Clauser KR, Nesvizhskii AI, Wang P, Carr SA, Zhang B, Mani DR, Gillette MA.
PMID: 34358469
Cell. 2021 Aug 05;184(16):4348-4371.e40. doi: 10.1016/j.cell.2021.07.016.

Lung squamous cell carcinoma (LSCC) remains a leading cause of cancer death with few therapeutic options. We characterized the proteogenomic landscape of LSCC, providing a deeper exposition of LSCC biology with potential therapeutic implications. We identify NSD3 as an...

Cite
Satpathy S, Krug K, Jean Beltran PM, et al. A proteogenomic portrait of lung squamous cell carcinoma. Cell. 2021;184(16):4348-4371.e40doi: 10.1016/j.cell.2021.07.016.
Satpathy, S., Krug, K., Jean Beltran, P. M., Savage, S. R., Petralia, F., Kumar-Sinha, C., Dou, Y., Reva, B., Kane, M. H., Avanessian, S. C., Vasaikar, S. V., Krek, A., Lei, J. T., Jaehnig, E. J., Omelchenko, T., Geffen, Y., Bergstrom, E. J., Stathias, V., Christianson, K. E., Heiman, D. I., Cieslik, M. P., Cao, S., Song, X., Ji, J., Liu, W., Li, K., Wen, B., Li, Y., Gümüş, Z. H., Selvan, M. E., Soundararajan, R., Visal, T. H., Raso, M. G., Parra, E. R., Babur, �. �., Vats, P., Anand, S., Schraink, T., Cornwell, M., Rodrigues, F. M., Zhu, H., Mo, C. K., Zhang, Y., da Veiga Leprevost, F., Huang, C., Chinnaiyan, A. M., Wyczalkowski, M. A., Omenn, G. S., Newton, C. J., Schurer, S., Ruggles, K. V., Fenyö, D., Jewell, S. D., Thiagarajan, M., Mesri, M., Rodriguez, H., Mani, S. A., Udeshi, N. D., Getz, G., Suh, J., Li, Q. K., Hostetter, G., Paik, P. K., Dhanasekaran, S. M., Govindan, R., Ding, L., Robles, A. I., Clauser, K. R., Nesvizhskii, A. I., Wang, P., Carr, S. A., Zhang, B., Mani, D. R., Gillette, M. A. (2021). A proteogenomic portrait of lung squamous cell carcinoma. Cell, 184(16), 4348-4371.e40. https://doi.org/10.1016/j.cell.2021.07.016
Satpathy, Shankha, et al. "A proteogenomic portrait of lung squamous cell carcinoma." Cell vol. 184,16 (2021): 4348-4371.e40. doi: https://doi.org/10.1016/j.cell.2021.07.016
Satpathy S, Krug K, Jean Beltran PM, Savage SR, Petralia F, Kumar-Sinha C, Dou Y, Reva B, Kane MH, Avanessian SC, Vasaikar SV, Krek A, Lei JT, Jaehnig EJ, Omelchenko T, Geffen Y, Bergstrom EJ, Stathias V, Christianson KE, Heiman DI, Cieslik MP, Cao S, Song X, Ji J, Liu W, Li K, Wen B, Li Y, Gümüş ZH, Selvan ME, Soundararajan R, Visal TH, Raso MG, Parra ER, Babur Ö, Vats P, Anand S, Schraink T, Cornwell M, Rodrigues FM, Zhu H, Mo CK, Zhang Y, da Veiga Leprevost F, Huang C, Chinnaiyan AM, Wyczalkowski MA, Omenn GS, Newton CJ, Schurer S, Ruggles KV, Fenyö D, Jewell SD, Thiagarajan M, Mesri M, Rodriguez H, Mani SA, Udeshi ND, Getz G, Suh J, Li QK, Hostetter G, Paik PK, Dhanasekaran SM, Govindan R, Ding L, Robles AI, Clauser KR, Nesvizhskii AI, Wang P, Carr SA, Zhang B, Mani DR, Gillette MA. A proteogenomic portrait of lung squamous cell carcinoma. Cell. 2021 Aug 05;184(16):4348-4371.e40. doi: 10.1016/j.cell.2021.07.016. PMID: 34358469; PMCID: PMC8475722.
Copy Download .nbib Format: NLM
Showing 1 to 12 of 15 entries