Description

Gene expression data for colon tissues obtained prior to, during, and after onset of colitis in mice fed either a standard or Western type diet.

File 1: probe annotations.

File 2: nSolver differential expression analysis results.

File 3: Gene set analysis

File 4: nSolver pathway scores

File 5: STRING-db networks and clusters

File 6: Metascape ontology results

File 7: nSolver cell type profiling scores

Author ORCID Identifier

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

OCLC

1143847690

Document Type

Dataset

DCMI Type

Dataset

File Format

.csv, .xlsx, .docx

Viewing Instructions

Files 2 through 7 are Microsoft Excel files. Supplemental files 1 through 7 are Microsoft Word files.

Publication Date

2-19-2020

Funder

Utah Agricultural Experiment Station

Publisher

Utah State University

Referenced by

Benninghoff, A. D., Hintze, K. J., Monsanto, S. P., Rodriguez, D. M., Hunter, A. H., Phatak, S., Pestka, J. J., Van Wettere, A. J., & Ward, R. E. (2020). Consumption of the Total Western Diet Promotes Colitis and Inflammation-Associated Colorectal Cancer in Mice. Nutrients, 12(2), 544. https://doi.org/10.3390/nu12020544

Language

eng

Code Lists

Code lists for each file is located in the associated, numbered supplemental files

Comments

File 1: probe annotations.

File 2: Microsoft Excel document with output from nSolver for differential expression analyses for pairwise comparisons noted by each named sheet.

File 3: Microsoft Excel document with output from nSolver for global and directed significance scores for immune pathways.

File 4: Microsoft Excel document with output from nSolver for immune pathway Z scores for pairwise comparisons noted by each named sheet.

File 5: Microsoft Excel document with protein networks obtained from STRING database and clusters predicted by the MCL algorithm.

File 6: Microsoft Excel document with output from Metascape ontology analyses for specific pairwise comparisons of diet groups at each time point or to prior published expression data.

File 7: Microsoft Excel document with output from nSolver for cell type profiling calculated as raw or relative scores.

Disciplines

Toxicology

License

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

Identifier

https://doi.org/10.26078/q4x4-6894

Checksum

215b9795b657a87e03e83798a6f06240

Additional Files

Digital commons submission form supplementary file 1.docx (16 kB)
MD5: b0a1c3b9e922693b1487c1a11c3be198

File S1 ProbeAnnotations.csv (126 kB)
MD5: 2615353fab355ab89226da806cf1e782

Digital commons submission form supplementary file 2.docx (17 kB)
MD5: dd00a087fe5e120dd4baff0529aeaa4a

File S2 Differential expression results.xlsx (671 kB)
MD5: 89d97c90a062a57e3efb8b91483cd89c

Digital commons submission form supplementary file 3.docx (16 kB)
MD5: 357c643ae14266cef5c777214519de50

File S3 Gene set analysis.xlsx (13 kB)
MD5: 77735c153bfd1fc42f182c97f2b583e4

Digital commons submission form supplementary file 4.docx (16 kB)
MD5: 5fadba291ee398770061a95e723c6b61

File S4 Pathway Z Scores.xlsx (26 kB)
MD5: ad5f357964214a85e3aaae5af0780ae4

Digital commons submission form supplementary file 5.docx (18 kB)
MD5: 864c46d5c63d7c2c35e92e94e38899da

File S5 String-db networks and clusters.xlsx (442 kB)
MD5: 7c43cc36c23b3ed33315f91c3433d308

Digital commons submission form supplementary file 6.docx (18 kB)
MD5: 52cdc3e2bca28b3009752fefb47ab53c

File S6 Metascape ontology results.xlsx (93 kB)
MD5: 0da061eecea8abc19b867ee33bb558fd

Digital commons submission form supplementary file 7.docx (16 kB)
MD5: 41171c731debeba30c661b6b165fb4d2

File S7 Cell type scores.xlsx (23 kB)
MD5: 8033a494296f822ed8ed56a83f9b3fa6

Included in

Toxicology Commons

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