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Arts-based learning in management education

Geoscience Opportunities for Leadership in Diversity AND Program Evaluation

Nissley N.
GSID: NXoP7ugFu-IJ
N Nissley - Rethinking management education for the 21st …, 2002 - books.google.com

This chapter seeks to describe an emerging phenomenon in management education how aesthetic epistemology (aesthetic ways of knowing), or arts-based learning is informing the …

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Nissley, N. (2002). Arts-based learning in management education. Rethinking management education for the 21st century, 14(5), 27-61.
Nissley, Nick. "Arts-based learning in management education." Rethinking management education for the 21st century 14.5 (2002): 27-61.
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Machine learning-driven multiscale modeling reveals lipid-dependent dynamics of RAS signaling proteins.

Proceedings of the National Academy of Sciences of the United States of America

Ingólfsson HI, Neale C, Carpenter TS, Shrestha R, López CA, Tran TH, Oppelstrup T, Bhatia H, Stanton LG, Zhang X, Sundram S, Di Natale F, Agarwal A, Dharuman G, Kokkila Schumacher SIL, Turbyville T, Gulten G, Van QN, Goswami D, Jean-Francois F, Agamasu C, Chen, Hettige JJ, Travers T, Sarkar S, Surh MP, Yang Y, Moody A, Liu S, Van Essen BC, Voter AF, Ramanathan A, Hengartner NW, Simanshu DK, Stephen AG, Bremer PT, Gnanakaran S, Glosli JN, Lightstone FC, McCormick F, Nissley DV, Streitz FH.
PMID: 34983849
Proc Natl Acad Sci U S A. 2022 Jan 04;119(1). doi: 10.1073/pnas.2113297119.

RAS is a signaling protein associated with the cell membrane that is mutated in up to 30% of human cancers. RAS signaling has been proposed to be regulated by dynamic heterogeneity of the cell membrane. Investigating such a mechanism...

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Ingólfsson HI, Neale C, Carpenter TS, et al. Machine learning-driven multiscale modeling reveals lipid-dependent dynamics of RAS signaling proteins. Proc Natl Acad Sci U S A. 2022;119(1)doi: 10.1073/pnas.2113297119.
Ingólfsson, H. I., Neale, C., Carpenter, T. S., Shrestha, R., López, C. A., Tran, T. H., Oppelstrup, T., Bhatia, H., Stanton, L. G., Zhang, X., Sundram, S., Di Natale, F., Agarwal, A., Dharuman, G., Kokkila Schumacher, S. I. L., Turbyville, T., Gulten, G., Van, Q. N., Goswami, D., Jean-Francois, F., Agamasu, C., Chen, Hettige, J. J., Travers, T., Sarkar, S., Surh, M. P., Yang, Y., Moody, A., Liu, S., Van Essen, B. C., Voter, A. F., Ramanathan, A., Hengartner, N. W., Simanshu, D. K., Stephen, A. G., Bremer, P. T., Gnanakaran, S., Glosli, J. N., Lightstone, F. C., McCormick, F., Nissley, D. V., & Streitz, F. H. (2022). Machine learning-driven multiscale modeling reveals lipid-dependent dynamics of RAS signaling proteins. Proceedings of the National Academy of Sciences of the United States of America, 119(1), . https://doi.org/10.1073/pnas.2113297119
Ingólfsson, Helgi I, et al. "Machine learning-driven multiscale modeling reveals lipid-dependent dynamics of RAS signaling proteins." Proceedings of the National Academy of Sciences of the United States of America vol. 119,1 (2022). doi: https://doi.org/10.1073/pnas.2113297119
Ingólfsson HI, Neale C, Carpenter TS, Shrestha R, López CA, Tran TH, Oppelstrup T, Bhatia H, Stanton LG, Zhang X, Sundram S, Di Natale F, Agarwal A, Dharuman G, Kokkila Schumacher SIL, Turbyville T, Gulten G, Van QN, Goswami D, Jean-Francois F, Agamasu C, Chen, Hettige JJ, Travers T, Sarkar S, Surh MP, Yang Y, Moody A, Liu S, Van Essen BC, Voter AF, Ramanathan A, Hengartner NW, Simanshu DK, Stephen AG, Bremer PT, Gnanakaran S, Glosli JN, Lightstone FC, McCormick F, Nissley DV, Streitz FH. Machine learning-driven multiscale modeling reveals lipid-dependent dynamics of RAS signaling proteins. Proc Natl Acad Sci U S A. 2022 Jan 04;119(1). doi: 10.1073/pnas.2113297119. PMID: 34983849.
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Ribosome occupancy profiles are conserved between structurally and evolutionarily related yeast domains.

Bioinformatics (Oxford, England)

Nissley DA, Carbery A, Chonofsky M, Deane CM.
PMID: 33483722
Bioinformatics. 2021 Jan 23; doi: 10.1093/bioinformatics/btab020. Epub 2021 Jan 23.

MOTIVATION: Protein synthesis is a non-equilibrium process, meaning that the speed of translation can influence the ability of proteins to fold and function. Assuming that structurally similar proteins fold by similar pathways, the profile of translation speed along an...

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Nissley DA, Carbery A, Chonofsky M, et al. Ribosome occupancy profiles are conserved between structurally and evolutionarily related yeast domains. Bioinformatics. 2021;doi: 10.1093/bioinformatics/btab020.
Nissley, D. A., Carbery, A., Chonofsky, M., & Deane, C. M. (2021). Ribosome occupancy profiles are conserved between structurally and evolutionarily related yeast domains. Bioinformatics (Oxford, England), . https://doi.org/10.1093/bioinformatics/btab020
Nissley, Daniel A, et al. "Ribosome occupancy profiles are conserved between structurally and evolutionarily related yeast domains." Bioinformatics (Oxford, England) vol. (2021). doi: https://doi.org/10.1093/bioinformatics/btab020
Nissley DA, Carbery A, Chonofsky M, Deane CM. Ribosome occupancy profiles are conserved between structurally and evolutionarily related yeast domains. Bioinformatics. 2021 Jan 23; doi: 10.1093/bioinformatics/btab020. Epub 2021 Jan 23. PMID: 33483722; PMCID: PMC8317121.
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Machine learning-driven multiscale modeling reveals lipid-dependent dynamics of RAS signaling proteins.

Proceedings of the National Academy of Sciences of the United States of America

Ingólfsson HI, Neale C, Carpenter TS, Shrestha R, López CA, Tran TH, Oppelstrup T, Bhatia H, Stanton LG, Zhang X, Sundram S, Di Natale F, Agarwal A, Dharuman G, Kokkila Schumacher SIL, Turbyville T, Gulten G, Van QN, Goswami D, Jean-Francois F, Agamasu C, Chen, Hettige JJ, Travers T, Sarkar S, Surh MP, Yang Y, Moody A, Liu S, Van Essen BC, Voter AF, Ramanathan A, Hengartner NW, Simanshu DK, Stephen AG, Bremer PT, Gnanakaran S, Glosli JN, Lightstone FC, McCormick F, Nissley DV, Streitz FH.
PMID: 34983849
Proc Natl Acad Sci U S A. 2022 Jan 04;119(1). doi: 10.1073/pnas.2113297119.

RAS is a signaling protein associated with the cell membrane that is mutated in up to 30% of human cancers. RAS signaling has been proposed to be regulated by dynamic heterogeneity of the cell membrane. Investigating such a mechanism...

Cite
Ingólfsson HI, Neale C, Carpenter TS, et al. Machine learning-driven multiscale modeling reveals lipid-dependent dynamics of RAS signaling proteins. Proc Natl Acad Sci U S A. 2022;119(1)doi: 10.1073/pnas.2113297119.
Ingólfsson, H. I., Neale, C., Carpenter, T. S., Shrestha, R., López, C. A., Tran, T. H., Oppelstrup, T., Bhatia, H., Stanton, L. G., Zhang, X., Sundram, S., Di Natale, F., Agarwal, A., Dharuman, G., Kokkila Schumacher, S. I. L., Turbyville, T., Gulten, G., Van, Q. N., Goswami, D., Jean-Francois, F., Agamasu, C., Chen, Hettige, J. J., Travers, T., Sarkar, S., Surh, M. P., Yang, Y., Moody, A., Liu, S., Van Essen, B. C., Voter, A. F., Ramanathan, A., Hengartner, N. W., Simanshu, D. K., Stephen, A. G., Bremer, P. T., Gnanakaran, S., Glosli, J. N., Lightstone, F. C., McCormick, F., Nissley, D. V., & Streitz, F. H. (2022). Machine learning-driven multiscale modeling reveals lipid-dependent dynamics of RAS signaling proteins. Proceedings of the National Academy of Sciences of the United States of America, 119(1), . https://doi.org/10.1073/pnas.2113297119
Ingólfsson, Helgi I, et al. "Machine learning-driven multiscale modeling reveals lipid-dependent dynamics of RAS signaling proteins." Proceedings of the National Academy of Sciences of the United States of America vol. 119,1 (2022). doi: https://doi.org/10.1073/pnas.2113297119
Ingólfsson HI, Neale C, Carpenter TS, Shrestha R, López CA, Tran TH, Oppelstrup T, Bhatia H, Stanton LG, Zhang X, Sundram S, Di Natale F, Agarwal A, Dharuman G, Kokkila Schumacher SIL, Turbyville T, Gulten G, Van QN, Goswami D, Jean-Francois F, Agamasu C, Chen, Hettige JJ, Travers T, Sarkar S, Surh MP, Yang Y, Moody A, Liu S, Van Essen BC, Voter AF, Ramanathan A, Hengartner NW, Simanshu DK, Stephen AG, Bremer PT, Gnanakaran S, Glosli JN, Lightstone FC, McCormick F, Nissley DV, Streitz FH. Machine learning-driven multiscale modeling reveals lipid-dependent dynamics of RAS signaling proteins. Proc Natl Acad Sci U S A. 2022 Jan 04;119(1). doi: 10.1073/pnas.2113297119. PMID: 34983849.
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AI Meets Exascale Computing: Advancing Cancer Research With Large-Scale High Performance Computing.

Frontiers in oncology

Bhattacharya T, Brettin T, Doroshow JH, Evrard YA, Greenspan EJ, Gryshuk AL, Hoang TT, Lauzon CBV, Nissley D, Penberthy L, Stahlberg E, Stevens R, Streitz F, Tourassi G, Xia F, Zaki G.
PMID: 31632915
Front Oncol. 2019 Oct 02;9:984. doi: 10.3389/fonc.2019.00984. eCollection 2019.

The application of data science in cancer research has been boosted by major advances in three primary areas: (1) Data: diversity, amount, and availability of biomedical data; (2) Advances in Artificial Intelligence (AI) and Machine Learning (ML) algorithms that...

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Bhattacharya T, Brettin T, Doroshow JH, et al. AI Meets Exascale Computing: Advancing Cancer Research With Large-Scale High Performance Computing. Front Oncol. 2019;9:984doi: 10.3389/fonc.2019.00984.
Bhattacharya, T., Brettin, T., Doroshow, J. H., Evrard, Y. A., Greenspan, E. J., Gryshuk, A. L., Hoang, T. T., Lauzon, C. B. V., Nissley, D., Penberthy, L., Stahlberg, E., Stevens, R., Streitz, F., Tourassi, G., Xia, F., & Zaki, G. (2019). AI Meets Exascale Computing: Advancing Cancer Research With Large-Scale High Performance Computing. Frontiers in oncology, 9984. https://doi.org/10.3389/fonc.2019.00984
Bhattacharya, Tanmoy, et al. "AI Meets Exascale Computing: Advancing Cancer Research With Large-Scale High Performance Computing." Frontiers in oncology vol. 9 (2019): 984. doi: https://doi.org/10.3389/fonc.2019.00984
Bhattacharya T, Brettin T, Doroshow JH, Evrard YA, Greenspan EJ, Gryshuk AL, Hoang TT, Lauzon CBV, Nissley D, Penberthy L, Stahlberg E, Stevens R, Streitz F, Tourassi G, Xia F, Zaki G. AI Meets Exascale Computing: Advancing Cancer Research With Large-Scale High Performance Computing. Front Oncol. 2019 Oct 02;9:984. doi: 10.3389/fonc.2019.00984. eCollection 2019. PMID: 31632915; PMCID: PMC6783509.
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Towards Better Precision Medicine: PacBio Single-Molecule Long Reads Resolve the Interpretation of HIV Drug Resistant Mutation Profiles at Explicit Quasispecies (Haplotype) Level.

Journal of data mining in genomics & proteomics

Huang DW, Raley C, Jiang MK, Zheng X, Liang D, Rehman MT, Highbarger HC, Jiao X, Sherman B, Ma L, Chen X, Skelly T, Troyer J, Stephens R, Imamichi T, Pau A, Lempicki RA, Tran B, Nissley D, Lane HC, Dewar RL.
PMID: 26949565
J Data Mining Genomics Proteomics. 2016 Jan;7(1). doi: 10.4172/2153-0602.1000182. Epub 2015 Nov 08.

Development of HIV-1 drug resistance mutations (HDRMs) is one of the major reasons for the clinical failure of antiretroviral therapy. Treatment success rates can be improved by applying personalized anti-HIV regimens based on a patient's HDRM profile. However, the...

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Huang DW, Raley C, Jiang MK, et al. Towards Better Precision Medicine: PacBio Single-Molecule Long Reads Resolve the Interpretation of HIV Drug Resistant Mutation Profiles at Explicit Quasispecies (Haplotype) Level. J Data Mining Genomics Proteomics. 2015;7(1)doi: 10.4172/2153-0602.1000182.
Huang, D. W., Raley, C., Jiang, M. K., Zheng, X., Liang, D., Rehman, M. T., Highbarger, H. C., Jiao, X., Sherman, B., Ma, L., Chen, X., Skelly, T., Troyer, J., Stephens, R., Imamichi, T., Pau, A., Lempicki, R. A., Tran, B., Nissley, D., Lane, H. C., & Dewar, R. L. (2016). Towards Better Precision Medicine: PacBio Single-Molecule Long Reads Resolve the Interpretation of HIV Drug Resistant Mutation Profiles at Explicit Quasispecies (Haplotype) Level. Journal of data mining in genomics & proteomics, 7(1), . https://doi.org/10.4172/2153-0602.1000182
Huang, Da Wei, et al. "Towards Better Precision Medicine: PacBio Single-Molecule Long Reads Resolve the Interpretation of HIV Drug Resistant Mutation Profiles at Explicit Quasispecies (Haplotype) Level." Journal of data mining in genomics & proteomics vol. 7,1 (2016). doi: https://doi.org/10.4172/2153-0602.1000182
Huang DW, Raley C, Jiang MK, Zheng X, Liang D, Rehman MT, Highbarger HC, Jiao X, Sherman B, Ma L, Chen X, Skelly T, Troyer J, Stephens R, Imamichi T, Pau A, Lempicki RA, Tran B, Nissley D, Lane HC, Dewar RL. Towards Better Precision Medicine: PacBio Single-Molecule Long Reads Resolve the Interpretation of HIV Drug Resistant Mutation Profiles at Explicit Quasispecies (Haplotype) Level. J Data Mining Genomics Proteomics. 2016 Jan;7(1). doi: 10.4172/2153-0602.1000182. Epub 2015 Nov 08. PMID: 26949565; PMCID: PMC4775093.
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Sensitivity of Oncogenic KRAS-Expressing Cells to CDK9 Inhibition.

SLAS discovery : advancing life sciences R & D

Lai LP, Brel V, Sharma K, Frappier J, Le-Henanf N, Vivet B, Muzet N, Schell E, Morales R, Rooney E, Basse N, Yi M, Lacroix F, Holderfield M, Englaro W, Marcireau C, Debussche L, Nissley DV, McCormick F.
PMID: 33896272
SLAS Discov. 2021 Aug;26(7):922-932. doi: 10.1177/24725552211008853. Epub 2021 Apr 24.

Oncogenic forms of KRAS proteins are known to be drivers of pancreatic, colorectal, and lung cancers. The goal of this study is to identify chemical leads that inhibit oncogenic KRAS signaling. We first developed an isogenic panel of mouse...

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Lai LP, Brel V, Sharma K, et al. Sensitivity of Oncogenic KRAS-Expressing Cells to CDK9 Inhibition. SLAS Discov. 2021;26(7):922-932doi: 10.1177/24725552211008853.
Lai, L. P., Brel, V., Sharma, K., Frappier, J., Le-Henanf, N., Vivet, B., Muzet, N., Schell, E., Morales, R., Rooney, E., Basse, N., Yi, M., Lacroix, F., Holderfield, M., Englaro, W., Marcireau, C., Debussche, L., Nissley, D. V., & McCormick, F. (2021). Sensitivity of Oncogenic KRAS-Expressing Cells to CDK9 Inhibition. SLAS discovery : advancing life sciences R & D, 26(7), 922-932. https://doi.org/10.1177/24725552211008853
Lai, Lick Pui, et al. "Sensitivity of Oncogenic KRAS-Expressing Cells to CDK9 Inhibition." SLAS discovery : advancing life sciences R & D vol. 26,7 (2021): 922-932. doi: https://doi.org/10.1177/24725552211008853
Lai LP, Brel V, Sharma K, Frappier J, Le-Henanf N, Vivet B, Muzet N, Schell E, Morales R, Rooney E, Basse N, Yi M, Lacroix F, Holderfield M, Englaro W, Marcireau C, Debussche L, Nissley DV, McCormick F. Sensitivity of Oncogenic KRAS-Expressing Cells to CDK9 Inhibition. SLAS Discov. 2021 Aug;26(7):922-932. doi: 10.1177/24725552211008853. Epub 2021 Apr 24. PMID: 33896272.
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Altered Co-Translational Processing Plays a Role in Huntington's Pathogenesis-A Hypothesis.

Frontiers in molecular neuroscience

Nissley DA, O'Brien EP.
PMID: 27458341
Front Mol Neurosci. 2016 Jul 06;9:54. doi: 10.3389/fnmol.2016.00054. eCollection 2016.

Huntington's disease (HD) is an autosomal dominant neurodegenerative disorder caused by the expansion of a CAG codon repeat region in the HTT gene's first exon that results in huntingtin protein aggregation and neuronal cell death. The development of therapeutic...

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Nissley DA, O'Brien EP. Altered Co-Translational Processing Plays a Role in Huntington's Pathogenesis-A Hypothesis. Front Mol Neurosci. 2016;9:54doi: 10.3389/fnmol.2016.00054.
Nissley, D. A., & O'Brien, E. P. (2016). Altered Co-Translational Processing Plays a Role in Huntington's Pathogenesis-A Hypothesis. Frontiers in molecular neuroscience, 954. https://doi.org/10.3389/fnmol.2016.00054
Nissley, Daniel A, and O'Brien, Edward P. "Altered Co-Translational Processing Plays a Role in Huntington's Pathogenesis-A Hypothesis." Frontiers in molecular neuroscience vol. 9 (2016): 54. doi: https://doi.org/10.3389/fnmol.2016.00054
Nissley DA, O'Brien EP. Altered Co-Translational Processing Plays a Role in Huntington's Pathogenesis-A Hypothesis. Front Mol Neurosci. 2016 Jul 06;9:54. doi: 10.3389/fnmol.2016.00054. eCollection 2016. PMID: 27458341; PMCID: PMC4933702.
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Direct molecular dissection of tumor parenchyma from tumor stroma in tumor xenograft using mass spectrometry-based glycoproteomics.

Oncotarget

Ye X, Luke BT, Wei BR, Kaczmarczyk JA, Loncarek J, Dwyer JE, Johann DJ, Saul RG, Nissley DV, McCormick F, Whiteley GR, Blonder J.
PMID: 29899869
Oncotarget. 2018 May 29;9(41):26431-26452. doi: 10.18632/oncotarget.25449. eCollection 2018 May 29.

The most widely used cancer animal model is the human-murine tumor xenograft. Unbiased molecular dissection of tumor parenchyma versus stroma in human-murine xenografts is critical for elucidating dysregulated protein networks/pathways and developing therapeutics that may target these two functionally...

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Ye X, Luke BT, Wei BR, et al. Direct molecular dissection of tumor parenchyma from tumor stroma in tumor xenograft using mass spectrometry-based glycoproteomics. Oncotarget. 2018;9(41):26431-26452doi: 10.18632/oncotarget.25449.
Ye, X., Luke, B. T., Wei, B. R., Kaczmarczyk, J. A., Loncarek, J., Dwyer, J. E., Johann, D. J., Saul, R. G., Nissley, D. V., McCormick, F., Whiteley, G. R., & Blonder, J. (2018). Direct molecular dissection of tumor parenchyma from tumor stroma in tumor xenograft using mass spectrometry-based glycoproteomics. Oncotarget, 9(41), 26431-26452. https://doi.org/10.18632/oncotarget.25449
Ye, Xiaoying, et al. "Direct molecular dissection of tumor parenchyma from tumor stroma in tumor xenograft using mass spectrometry-based glycoproteomics." Oncotarget vol. 9,41 (2018): 26431-26452. doi: https://doi.org/10.18632/oncotarget.25449
Ye X, Luke BT, Wei BR, Kaczmarczyk JA, Loncarek J, Dwyer JE, Johann DJ, Saul RG, Nissley DV, McCormick F, Whiteley GR, Blonder J. Direct molecular dissection of tumor parenchyma from tumor stroma in tumor xenograft using mass spectrometry-based glycoproteomics. Oncotarget. 2018 May 29;9(41):26431-26452. doi: 10.18632/oncotarget.25449. eCollection 2018 May 29. PMID: 29899869; PMCID: PMC5995176.
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Erratum to: Sensitive Drug-Resistance Assays Reveal Long-Term Persistence of HIV-1 Variants with the K103N Nevirapine (NVP) Resistance Mutation in Some Women and Infants after the Administration of Single-Dose NVP: HIVNET 012.

The Journal of infectious diseases

Flys T, Nissley DV, Claasen CW, Jones D, Shi C, Guay LA, Musoke P, Mmiro F, Strathern JN, Jackson JB, Eshleman JR, Eshleman SH.
PMID: 31776582
J Infect Dis. 2020 Feb 18;221(5):855. doi: 10.1093/infdis/jiz524.

No abstract available.

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Flys T, Nissley DV, Claasen CW, et al. Erratum to: Sensitive Drug-Resistance Assays Reveal Long-Term Persistence of HIV-1 Variants with the K103N Nevirapine (NVP) Resistance Mutation in Some Women and Infants after the Administration of Single-Dose NVP: HIVNET 012. J Infect Dis. 2020;221(5):855doi: 10.1093/infdis/jiz524.
Flys, T., Nissley, D. V., Claasen, C. W., Jones, D., Shi, C., Guay, L. A., Musoke, P., Mmiro, F., Strathern, J. N., Jackson, J. B., Eshleman, J. R., & Eshleman, S. H. (2020). Erratum to: Sensitive Drug-Resistance Assays Reveal Long-Term Persistence of HIV-1 Variants with the K103N Nevirapine (NVP) Resistance Mutation in Some Women and Infants after the Administration of Single-Dose NVP: HIVNET 012. The Journal of infectious diseases, 221(5), 855. https://doi.org/10.1093/infdis/jiz524
Flys, Tamara, et al. "Erratum to: Sensitive Drug-Resistance Assays Reveal Long-Term Persistence of HIV-1 Variants with the K103N Nevirapine (NVP) Resistance Mutation in Some Women and Infants after the Administration of Single-Dose NVP: HIVNET 012." The Journal of infectious diseases vol. 221,5 (2020): 855. doi: https://doi.org/10.1093/infdis/jiz524
Flys T, Nissley DV, Claasen CW, Jones D, Shi C, Guay LA, Musoke P, Mmiro F, Strathern JN, Jackson JB, Eshleman JR, Eshleman SH. Erratum to: Sensitive Drug-Resistance Assays Reveal Long-Term Persistence of HIV-1 Variants with the K103N Nevirapine (NVP) Resistance Mutation in Some Women and Infants after the Administration of Single-Dose NVP: HIVNET 012. J Infect Dis. 2020 Feb 18;221(5):855. doi: 10.1093/infdis/jiz524. PMID: 31776582; PMCID: PMC7325613.
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Cryogenic refractive indices and temperature coefficients of cadmium telluride from 6 microm to 22 microm.

Applied optics

Debell AG, Dereniak EL, Harvey J, Nissley J, Palmer J, Selvarajan A, Wolfe WL.
PMID: 20212812
Appl Opt. 1979 Sep 15;18(18):3114-5. doi: 10.1364/AO.18.003114.

The index of refraction and its variation with wavelength and temperature were measured for cadmium telluride made by chemical vapor deposition (CVD). The measurement at 20 K using liquid helium as coolant is reported for the first time. The...

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Debell AG, Dereniak EL, Harvey J, et al. Cryogenic refractive indices and temperature coefficients of cadmium telluride from 6 microm to 22 microm. Appl Opt. 1979;18(18):3114-5doi: 10.1364/AO.18.003114.
Debell, A. G., Dereniak, E. L., Harvey, J., Nissley, J., Palmer, J., Selvarajan, A., & Wolfe, W. L. (1979). Cryogenic refractive indices and temperature coefficients of cadmium telluride from 6 microm to 22 microm. Applied optics, 18(18), 3114-5. https://doi.org/10.1364/AO.18.003114
Debell, A G, et al. "Cryogenic refractive indices and temperature coefficients of cadmium telluride from 6 microm to 22 microm." Applied optics vol. 18,18 (1979): 3114-5. doi: https://doi.org/10.1364/AO.18.003114
Debell AG, Dereniak EL, Harvey J, Nissley J, Palmer J, Selvarajan A, Wolfe WL. Cryogenic refractive indices and temperature coefficients of cadmium telluride from 6 microm to 22 microm. Appl Opt. 1979 Sep 15;18(18):3114-5. doi: 10.1364/AO.18.003114. PMID: 20212812.
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Tumor RAS Gene Expression Levels Are Influenced by the Mutational Status of RAS Genes and Both Upstream and Downstream RAS Pathway Genes.

Cancer informatics

Stephens RM, Yi M, Kessing B, Nissley DV, McCormick F.
PMID: 28634423
Cancer Inform. 2017 Jun 08;16:1176935117711944. doi: 10.1177/1176935117711944. eCollection 2017.

The 3 human RAS genes play pivotal roles regulating proliferation, differentiation, and survival in normal cells and become mutated in 15% to 20% of all human tumors and amplified in many others. In this report, we examined data from...

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Stephens RM, Yi M, Kessing B, et al. Tumor RAS Gene Expression Levels Are Influenced by the Mutational Status of RAS Genes and Both Upstream and Downstream RAS Pathway Genes. Cancer Inform. 2017;16:1176935117711944doi: 10.1177/1176935117711944.
Stephens, R. M., Yi, M., Kessing, B., Nissley, D. V., & McCormick, F. (2017). Tumor RAS Gene Expression Levels Are Influenced by the Mutational Status of RAS Genes and Both Upstream and Downstream RAS Pathway Genes. Cancer informatics, 161176935117711944. https://doi.org/10.1177/1176935117711944
Stephens, Robert M, et al. "Tumor RAS Gene Expression Levels Are Influenced by the Mutational Status of RAS Genes and Both Upstream and Downstream RAS Pathway Genes." Cancer informatics vol. 16 (2017): 1176935117711944. doi: https://doi.org/10.1177/1176935117711944
Stephens RM, Yi M, Kessing B, Nissley DV, McCormick F. Tumor RAS Gene Expression Levels Are Influenced by the Mutational Status of RAS Genes and Both Upstream and Downstream RAS Pathway Genes. Cancer Inform. 2017 Jun 08;16:1176935117711944. doi: 10.1177/1176935117711944. eCollection 2017. PMID: 28634423; PMCID: PMC5467702.
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Showing 1 to 12 of 16 entries