Title

Consumption of the Total Western Diet Promotes Colitis and Inflammation-Associated Colorectal Cancer in Mice

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

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

Embargo Period

2-18-2020

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

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

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