Additional file 4 of Respiratory syncytial virus (RSV) enhances translation of virus-resembling AU-rich host transcripts

Supplementary Material 4: Supplementary Fig. S4. Related to Fig. 4. TE quality control data for VSV data.Cumulative histograms of TE ratiosto determine high vs. low TE cut-offs. Data to determine TE cut-off was derived from uninfected samples for both the RSV datasetand VSV dataset. The RSV dataset was divided between high and low TE transcripts by setting the cut-off value at 2. This approximately separates the top 34% most highly translating transcriptsfrom the other 66% transcripts with low TE. On the other hand, setting a TE cut-off value of 2 for the VSV dataset would result in a division of 89%vs. 12%. Since this would likely result in a non-representative dataset, we set the TE cut-off for the VSV dataset at 1.5 which divides the reads 72% - 28%.Distribution of the GC% and CDS length of host protein-coding transcripts divided between high TEand low TEfrom previously published dataset from Neidermyer et al. 2019. P values were calculated with an unpaired t test. Highly translated mRNAs are shorter and GC-rich.

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Publication Details

Journal
Figshare
Published
2025-01-01
DOI
https://doi.org/10.6084/m9.figshare.29578717
Primary Topic
Respiratory viral infections research
Type
article
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article

Additional file 4 of Respiratory syncytial virus (RSV) enhances translation of virus-resembling AU-rich host transcripts

Figshare
Respiratory viral infections research
article

Additional file 4 of Respiratory syncytial virus (RSV) enhances translation of virus-resembling AU-rich host transcripts

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Abstract

Supplementary Material 4: Supplementary Fig. S4. Related to Fig. 4. TE quality control data for VSV data.Cumulative histograms of TE ratiosto determine high vs. low TE cut-offs. Data to determine TE cut-off was derived from uninfected samples for both the RSV datasetand VSV dataset. The RSV dataset was divided between high and low TE transcripts by setting the cut-off value at 2. This approximately separates the top 34% most highly translating transcriptsfrom the other 66% transcripts with low TE. On the other hand, setting a TE cut-off value of 2 for the VSV dataset would result in a division of 89%vs. 12%. Since this would likely result in a non-representative dataset, we set the TE cut-off for the VSV dataset at 1.5 which divides the reads 72% - 28%.Distribution of the GC% and CDS length of host protein-coding transcripts divided between high TEand low TEfrom previously published dataset from Neidermyer et al. 2019. P values were calculated with an unpaired t test. Highly translated mRNAs are shorter and GC-rich.

Figshare
York University (CA), National Institute of Diabetes and Digestive and Kidney Diseases (US)
Openalex Percentile: Top 46%
Respiratory viral infections research
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