Search

Your search keyword '"Sykes, Erin"' showing total 10 results
Start Over Author "Sykes, Erin"
10 results on '"Sykes, Erin"'

1. Strategies to enable large-scale proteomics for reproducible research

Author

Poulos, Rebecca C., Hains, Peter G., Shah, Rohan, Lucas, Natasha, Xavier, Dylan, Manda, Srikanth S., Anees, Asim, Koh, Jennifer M. S., Mahboob, Sadia, Wittman, Max, Williams, Steven G., Sykes, Erin K., Hecker, Michael, Dausmann, Michael, Wouters, Merridee A., Ashman, Keith, Yang, Jean, Wild, Peter J., deFazio, Anna, Balleine, Rosemary L., Tully, Brett, Aebersold, Ruedi, Speed, Terence P., Liu, Yansheng, Reddel, Roger R., Robinson, Phillip J., and Zhong, Qing

Published
2020
Full Text
View/download PDF

2. Pan-cancer proteomic map of 949 human cell lines

Author

Gonçalves, Emanuel, primary, Poulos, Rebecca C., additional, Cai, Zhaoxiang, additional, Barthorpe, Syd, additional, Manda, Srikanth S., additional, Lucas, Natasha, additional, Beck, Alexandra, additional, Bucio-Noble, Daniel, additional, Dausmann, Michael, additional, Hall, Caitlin, additional, Hecker, Michael, additional, Koh, Jennifer, additional, Lightfoot, Howard, additional, Mahboob, Sadia, additional, Mali, Iman, additional, Morris, James, additional, Richardson, Laura, additional, Seneviratne, Akila J., additional, Shepherd, Rebecca, additional, Sykes, Erin, additional, Thomas, Frances, additional, Valentini, Sara, additional, Williams, Steven G., additional, Wu, Yangxiu, additional, Xavier, Dylan, additional, MacKenzie, Karen L., additional, Hains, Peter G., additional, Tully, Brett, additional, Robinson, Phillip J., additional, Zhong, Qing, additional, Garnett, Mathew J., additional, and Reddel, Roger R., additional

Published
2022
Full Text
View/download PDF

3. Pan-cancer proteomic map of 949 human cell lines reveals principles of cancer vulnerabilities

Author

Gonçalves, Emanuel, primary, Poulos, Rebecca C, additional, Cai, Zhaoxiang, additional, Barthorpe, Syd, additional, Manda, Srikanth S, additional, Lucas, Natasha, additional, Beck, Alexandra, additional, Bucio-Noble, Daniel, additional, Dausmann, Michael, additional, Hall, Caitlin, additional, Hecker, Michael, additional, Koh, Jennifer, additional, Mahboob, Sadia, additional, Mali, Iman, additional, Morris, James, additional, Richardson, Laura, additional, Seneviratne, Akila J, additional, Sykes, Erin, additional, Thomas, Frances, additional, Valentini, Sara, additional, Williams, Steven G, additional, Wu, Yangxiu, additional, Xavier, Dylan, additional, MacKenzie, Karen L, additional, Hains, Peter G, additional, Tully, Brett, additional, Robinson, Phillip J, additional, Zhong, Qing, additional, Garnett, Mathew J, additional, and Reddel, Roger R, additional

Published
2022
Full Text
View/download PDF

5. Consensus for the General Use of Equine Water Treadmills for Healthy Horses

Author

Nankervis, Kathryn, primary, Tranquille, Carolyne, additional, McCrae, Persephone, additional, York, Jessica, additional, Lashley, Morgan, additional, Baumann, Matthias, additional, King, Melissa, additional, Sykes, Erin, additional, Lambourn, Jessica, additional, Miskimmin, Kerry-Anne, additional, Allen, Donna, additional, van Mol, Evelyne, additional, Brooks, Shelley, additional, Willingham, Tonya, additional, Lacey, Sam, additional, Hardy, Vanessa, additional, Ellis, Julie, additional, and Murray, Rachel, additional

Published
2021
Full Text
View/download PDF

9. Myth busters.

Author

Sykes, Erin, Monahan, Bronwyn, and Buckley, Petra

Published
2018

10. A 14-Protein Signature for Rapid Identification of Poor Prognosis Stage III Metastatic Melanoma.

Author

Sykes EK, McDonald CE, Ghazanfar S, Mactier S, Thompson JF, Scolyer RA, Yang JY, Mann GJ, and Christopherson RI

Subjects
Biomarkers, Tumor metabolism, Humans, Kaplan-Meier Estimate, Lymphatic Metastasis, Melanoma pathology, Neoplasm Staging, Prognosis, Time Factors, Melanoma diagnosis, Melanoma metabolism, Neoplasm Proteins metabolism, Proteomics
Abstract

Purpose: To validate differences in protein levels between good and poor prognosis American Joint Committee on Cancer (AJCC) stage III melanoma patients and compile a protein panel to stratify patient risk., Experimental Design: Protein extracts from melanoma metastases within lymph nodes in patients with stage III disease with good (n = 16, >4 years survival) and poor survival (n = 14, <2 years survival) were analyzed by selected reaction monitoring (SRM). Diagonal Linear Discriminant Analysis (DLDA) was performed to generate a protein biomarker panel., Results: SRM analysis identified ten proteins that were differentially abundant between good and poor prognosis stage III melanoma patients. The ten differential proteins were combined with 22 proteins identified in our previous work. A panel of 14 proteins was selected by DLDA that was able to accurately classify patients into prognostic groups based on levels of these proteins., Conclusions and Clinical Relevance: The ten differential proteins identified by SRM have biological significance in cancer progression. The final signature of 14 proteins identified by SRM could be used to identify AJCC stage III melanoma patients likely to have poor outcomes who may benefit from adjuvant systemic therapy., (© 2017 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.)

Published
2018
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results