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Identification of Cervical Cancer Key Regulators using Network Biology Approach - Supplementary tables Public Deposited

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https://ir.library.oregonstate.edu/concern/datasets/f4752p203

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Abstract
  • This data contains large supplementary tables for the PhD dissertation of Dariia Vyshenska. Title of the Dissertation: "Identification of Cervical Cancer Key Regulators using Network Biology Approach" The dataset contains data from two types of research. Research #1: Identification of bacterial regulators of cervical cancer gene expression. It contains microbial community’s data from cervical cancer samples of human patients. Prevotella bivia was identified as a key bacterial regulator of cervical cancer gene expression using reconstruction of transkingdom network from patient’s gene expression and bacterial abundance data. The data contains transkingdom network, information about bacteria found in each sample of cervical cancer, qRT PCR primers that were used to test host genes for being regulated by P. bivia. Research #2: Identification of key cervical cancer driver genes and their combinations that are critical for cancer proliferation. We identified 9 host genes responsible for cancer cell growth and identified the pairs of these driver genes that have the highest impact on the cancer proliferation. To achieve this goal, we identified targets of each driver gene and reconstructed gene co-expression network out of the union of these targets. The data contains gene co-expression network, qRT PCR primers for 34 tested potential drivers, network measurements for each confirmed driver gene (average shortest path, number of proliferation associated targets), and proliferation measurements for single driver or driver pairs knock downs.
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  • Vyshenska, D. (2019) Identification of Cervical Cancer Key Regulators using Network Biology Approach - Supplementary tables (version 1) [Dataset]. Oregon State University. https://doi.org/10.7267/f4752p203
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  • Vyshenska D, Lam KC, Shulzhenko N, Morgun A: Interplay between viruses and bacterial microbiota in cancer development. Seminars in immunology 2017, 32:14-24 doi: 10.1016/j.smim.2017.05.003
  • Lam KC, Vyshenska D, Hu J, Rodrigues RR, Nilsen A, Zielke RA, Brown NS, Aarnes EK, Sikora AE, Shulzhenko N et al: Transkingdom network reveals bacterial players associated with cervical cancer gene expression program. PeerJ 2018, 6:e5590 doi: 10.7717/peerj.5590
  • This dataset supplements the doctoral dissertation: Dariia Vyshenska (2019) Identification of Cervical Cancer Key Regulators using Network Biology Approach (Doctoral dissertation). Oregon State University, Corvallis, USA.
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  • 2019-08-27 to 2020-03-28

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Items

Thumbnail Title Date Uploaded Visibility Actions
Supplemental_File_S1._Gene_Co-expression_Network.cys 2019-08-30 Public
Supplemental_Table_S1.csv 2019-08-30 Public
Supplemental_Table_S10._Network_Nodes_With_Attributes.csv 2019-08-30 Public
Supplemental_Table_S11._Subnetworks_pathway_enrichment.csv 2019-08-30 Public
Supplemental_Table_S12._Average_Shortest_Path_Lengths_And_Unique_Prol._Assoss._Targets.csv 2019-08-30 Public
Supplemental_Table_S13._Driver_Pair_KD_Proliferation_Measurements.csv 2019-08-30 Public
Supplemental_Table_S2_file1.csv 2019-08-30 Public
Supplemental_Table_S2_file2.csv 2019-08-30 Public
Supplemental_Table_S3.csv 2019-08-30 Public
Supplemental_Table_S4.csv 2019-08-30 Public