Dataset for: mRNA vaccine quality analysis using RNA sequencing
Data files
Aug 28, 2023 version files 6.71 GB
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20220311_VAC_S4_U_allpassedreads_sorted.bam
2.43 GB
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20220311_VAC_S4_U_allpassedreads_sorted.bam.bai
96 B
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20220321_VAC_mU_allfailedreads_sorted.bam
700.53 MB
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20220321_VAC_mU_allfailedreads_sorted.bam.bai
96 B
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20220505_GFP_cap_S1_polya.csv
139.38 MB
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20220505_GFP_cap_S2_polya.csv
255.57 MB
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20220505_GFP_cap_S3_polya.csv
267.99 MB
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cDNA_Mod_37C_NEBT7_BaseGfpmRNA_1strun_allpassedreads_100000_subsample_sorted.bam
77.10 MB
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cDNA_Mod_37C_NEBT7_BaseGfpmRNA_1strun_allpassedreads_100000_subsample_sorted.bam.bai
96 B
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cDNA_Mod_37C_NEBT7_BaseGfpmRNA_1strun_allpassedreads_sorted.bam
277.49 MB
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cDNA_Mod_37C_NEBT7_BaseGfpmRNA_1strun_allpassedreads_sorted.bam.bai
96 B
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cDNA_Mod_polyA_tailed_BaseGfpmRNA_passed_100000_sub_sorted.bam
56.65 MB
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cDNA_Mod_polyA_tailed_BaseGfpmRNA_passed_100000_sub_sorted.bam.bai
96 B
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cDNA_Mod_Rep_1_BaseGfpmRNA_passed_Real10000_sub_sorted.bam
9.49 MB
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cDNA_Mod_Rep_1_BaseGfpmRNA_passed_Real10000_sub_sorted.bam.bai
96 B
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cDNA_Mod_rep1_BaseGfpmRNA_trimmed_passedreads_sorted.bam
271.44 MB
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cDNA_Mod_rep1_BaseGfpmRNA_trimmed_passedreads_sorted.bam.bai
96 B
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cDNA_UnMod_32C_PefT7_BaseGfpmRNA.R1_trimmed_passedreads_sorted_subsam10k.bam
3.37 MB
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cDNA_UnMod_32C_PefT7_BaseGfpmRNA.R1_trimmed_passedreads_sorted_subsam10k.bam.bai
96 B
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cDNA_UnMod_37C_NEBT7_BaseGfpmRNA_polyA_allpassedreads_sorted.bai
96 B
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cDNA_UnMod_37C_NEBT7_BaseGfpmRNA_polyA_allpassedreads_sorted.bam
284.68 MB
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gfp_plasmid_cleaned_tooldreference_sorted.bam
227.89 MB
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gfp_plasmid_cleaned_tooldreference_sorted.bam.bai
96 B
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gfp_plasmid_trimmed_passedreads_sorted.bam
556.46 MB
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gfp_plasmid_trimmed_passedreads_sorted.bam.bai
96 B
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README.md
12.88 KB
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sqkpcs111_cdna_gfpmod_rep1_110522_fast5_sub.csv
930.23 MB
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unmod_02.csv
215.96 MB
Abstract
The success of mRNA vaccines has been realised, in part, by advances in manufacturing that enabled billions of doses to be produced at sufficient quality and safety. However, mRNA vaccines must be rigorously analysed to measure their integrity and detect contaminants that reduce their effectiveness and induce side-effects. Currently, mRNA vaccines and therapies are analysed using a range of time-consuming and costly methods. Here we describe a streamlined method to analyse mRNA vaccines and therapies using long-read nanopore sequencing. Compared to other industry-standard techniques, VAX-seq can comprehensively measure key mRNA vaccine quality attributes, including sequence, length, integrity, and purity. We also show how direct RNA sequencing can analyse mRNA chemistry, including the detection of nucleoside modifications. To support this approach, we provide supporting software to automatically report on mRNA and plasmid template quality and integrity. Given these advantages, we anticipate that RNA sequencing methods, such as VAX-seq, will become central to the development and manufacture of mRNA drugs.
Data are analyses of mRNA vaccines, sequenced using Oxford Nanopore sequencing. These include alignment files (.bam and .bai) of a control eGFP mRNA vaccine and its plasmid template. Additionally there analyses of poly(A) tail length, performed using tailfindr software.
The .bam and .bai files can be opened using IGV. The .csv files can be opened using a text editor or Excel.