ArticleBMC genomics2018
A comparative analysis of library prep approaches for sequencing low input translatome samples.
Article in BMC genomics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.
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Who cites it
57 citing papers in PubMed.
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- Molecular profiling of glioblastoma-derived extracellular vesicles identifies small nucleolar RNAs as candidate liquid biomarkers for radiation- induced senescence.bioRxiv : the preprint server for biology · 2026Article
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- Dynamic Gene Expression Signatures across Stages of Carotid Plaque Calcification.Journal of vascular research · 2026Article
- Linear ubiquitination prevents lipodystrophy and obesity-associated metabolic syndrome.Science advances · 2025Article
- NRAC controls CD36-mediated fatty acid uptake in adipocytes and lipid clearance in vivo.The EMBO journal · 2025Article
- Oxytranscriptome of soybean seedlings under short-term cadmium treatment.Scientific reports · 2025Article
- Optimizing Cost-Effective gene expression phenotyping approaches in cattle using 3' mRNA sequencing.BMC genomics · 2025Article
- Picalm, a novel regulator of GLUT4-trafficking in adipose tissue.Molecular metabolism · 2024Article
- Comparison of RNA-Sequencing Methods for Degraded RNA.International journal of molecular sciences · 2024Article
- Adipocyte p53 coordinates the response to intermittent fasting by regulating adipose tissue immune cell landscape.Nature communications · 2024Article
- Post-transcriptional regulation shapes the transcriptome of quiescent budding yeast.Nucleic acids research · 2024Article
- Suppression of IRF9 Promotes Osteoclast Differentiation by Decreased Ferroptosis via STAT3 Activation.Inflammation · 2024Article
- CNS cell-derived exosome signatures as blood-based biomarkers of neurodegenerative diseases.Frontiers in neuroscience · 2024Review
- Single-cell sequencing technology in skin wound healing.Burns & trauma · 2024Review
- Unlocking ovarian cancer heterogeneity: advancing immunotherapy through single-cell transcriptomics.Frontiers in oncology · 2024Review
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Authors and funding
11 authors.
Funding
Abstract
backgroundCell type-specific ribosome-pulldown has become an increasingly popular method for analysis of gene expression. It allows for expression analysis from intact tissues and monitoring of protein synthesis in vivo. However, while its utility has been assessed, technical aspects related to sequencing of these samples, often starting with a smaller amount of RNA, have not been reported. In this study, we evaluated the performance of five library prep protocols for ribosome-associated mRNAs when only 250 pg-4 ng of total RNA are used.
resultsWe obtained total and RiboTag-IP RNA, in three biological replicates. We compared 5 methods of library preparation for Illumina Next Generation sequencing: NuGEN Ovation RNA-Seq system V2 Kit, TaKaRa SMARTer Stranded Total RNA-Seq Kit, TaKaRa SMART-Seq v4 Ultra Low Input RNA Kit, Illumina TruSeq RNA Library Prep Kit v2 and NEBNext® Ultra™ Directional RNA Library Prep Kit using slightly modified protocols each with 4 ng of total RNA. An additional set of samples was processed using the TruSeq kit with 70 ng, as a 'gold standard' control and the SMART-Seq v4 with 250 pg of total RNA. TruSeq-processed samples had the best metrics overall, with similar results for the 4 ng and 70 ng samples. The results of the SMART-Seq v4 processed samples were similar to TruSeq (Spearman correlation > 0.8) despite using lower amount of input RNA. All RiboTag-IP samples had an increase in the intronic reads compared with the corresponding whole tissue, suggesting that the IP captures some immature mRNAs. The SMARTer-processed samples had a higher representation of ribosomal and non-coding RNAs leading to lower representation of protein coding mRNA. The enrichment or depletion of IP samples compared to corresponding input RNA was similar across all kits except for SMARTer kit.
conclusionRiboTag-seq can be performed successfully with as little as 250 pg of total RNA when using the SMART-Seq v4 kit and 4 ng when using the modified protocols of other library preparation kits. The SMART-Seq v4 and TruSeq kits resulted in the highest quality libraries. RiboTag IP RNA contains some immature transcripts.
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