Description

The dataset contains five files of tabular data with an accompanying README file.

Supplementary file 1: Customized probe annotation file for the Nanostring nCounter Mouse PanCancer Immune Profiling Panel (catalog # 115000142). This file is provided as supporting material for a journal article.

Supplementary file 2: Microsoft Excel document with output from nSolver for differential expression analyses for pairwise comparisons noted by each named sheet. This data set is supporting material for a journal article.

Supplementary file 3: Microsoft Excel document with output from nSolver for global and directed significance scores for immune pathways. This data set is supporting material for a journal article.

Supplementary file 4: Microsoft Excel document with output from nSolver for immune pathway Z scores for pairwise comparisons noted by each named sheet. This data set is supporting material for a journal article.

Supplementary file 5: Microsoft Excel document with protein networks obtained from STRING database and clusters predicted by the MCL algorithm. This data set is supporting material for a journal article.

Author ORCID Identifier

Abby D. Benninghoff https://orcid.org/ 0000-0002-7993-0117

OCLC

1114687490

Document Type

Dataset

DCMI Type

Dataset

File Format

.csv, .xlsx, .txt

Publication Date

7-17-2019

Funder

NIH

Publisher

Utah State University

Award Number

NIH R01ES027353

Award Title

Dietary Lipids and Silica-Triggered Autoimmunity

Methodology

see corresponding journal publication for information and complete explanation of data.

Referenced by

Benninghoff, A. D., Bates, M. A., Chauhan, P. S., Wierenga, K. A., Gilley, K. N., Holian, A., Harkema, J. R., & Pestka, J. J. (2019). Docosahexaenoic Acid Consumption Impedes Early Interferon- and Chemokine-Related Gene Expression While Suppressing Silica-Triggered Flaring of Murine Lupus. Frontiers in Immunology, 10. https://doi.org/10.3389/fimmu.2019.02851

Language

eng

Code Lists

see individual README files. Full explanation of data is available in the corresponding journal article.

Comments

supplementary files for journal article

Disciplines

Medical Toxicology

License

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.

Identifier

https://doi.org/10.26078/4697-1p77

Checksum

b585c8e4f7df4da7513dadb880af06b0

Additional Files

README_supplementary_file_1.txt (1 kB)
MD5: E65BED2BDBB2BE7BDAE4D0F52C14DDD0

Supplementary_File_1_Probe_annotations.csv (126 kB)
MD5: C098AE9872347B862DE1E550A31C7D18

README_supplementary_file_2.txt (2 kB)
MD5: 2976AEACE25C74A4854CB0F4C74346EF

Supplementary_File_2_nSolver_differential_expression_analysis_results.xlsx (836 kB)
MD5: EBB61C0C0A2E2DCE33CD666A7CFC07B9

README_supplementary_file_3.txt (1 kB)
MD5: F4C722B169B2B71F089E6616AAD87692

Supplementary_File_3_nSolver_significance_scores.xlsx (21 kB)
MD5: DC86EA93D688DFA27FECBD640C9D6AB2

README_supplementary_file_4.txt (1 kB)
MD5: D4C7AEEC634211F5E3301A7A7A56ACD3

Supplementary_File_4_nSolver_pathway_Z_scores.xlsx (118 kB)
MD5: 64DE55B75183C637852E5368B1761188

README_supplementary_file_5.txt (2 kB)
MD5: 27C61E8C93FBD2E93532D4C23C9D0722

Supplementary_File_5_STRING-db_networks_and_predicted_clusters.xlsx (175 kB)
MD5: 92548FB249084FC67A14867E2DCC3B95

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