ArticleBMC genomics2021
Optimization of library preparation based on SMART for ultralow RNA-seq in mice brain tissues.
Article in BMC genomics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 9 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
9 citing papers in PubMed, 8 citations in OpenAlex.
- Amplification bias in sequencing-based spatial transcriptomics: sources, mechanisms, impacts, and mitigation strategies.Briefings in bioinformatics · 2026Review
- A practical guide to targeted single-cell RNA sequencing technologies.Communications biology · 2026Review
- Enhanced RNA Preservation in Mouse Brain Tissue: A Strategy Combining Cardiac Perfusion with Hypersaline Immersion.ACS omega · 2025Article
- Overcoming barriers to single-cell RNA sequencing adoption in low- and middle-income countries.European journal of human genetics : EJHG · 2024Review
- Exploring the impact of primer length on efficient gene detection via high-throughput sequencing.Nature communications · 2024Article
- Spatial transcriptomic profiling of isolated microregions in tissue sections utilizing laser-induced forward transfer.PloS one · 2024Article
- Spatial Transcriptome Profiling of Mouse Hippocampal Single Cell Microzone in Parkinson's Disease.International journal of molecular sciences · 2023Article
- The Analysis of the Human Megakaryocyte and Platelet Coding Transcriptome in Healthy and Diseased Subjects.International journal of molecular sciences · 2022Review
- Correction to: Optimization of library preparation based on SMART for ultralow RNA-seq in mice brain tissues.BMC genomics · 2022Article
Corrections and comments
- Erratum issued
Authors and funding
9 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundSingle-cell RNA sequencing (scRNA-seq) provides new insights to address biological and medical questions, and it will benefit more from the ultralow input RNA or subcellular sequencing.
resultsHere, we present a highly sensitive library construction protocol for ultralow input RNA sequencing (ulRNA-seq). We systematically evaluate experimental conditions of this protocol, such as reverse transcriptase, template-switching oligos (TSO), and template RNA structure. It was found that Maxima H Minus reverse transcriptase and rN modified TSO, as well as all RNA templates capped with m7G improved the sequencing sensitivity and low abundance gene detection ability. RNA-seq libraries were successfully prepared from total RNA samples as low as 0.5 pg, and more than 2000 genes have been identified.
conclusionsThe ability of low abundance gene detection and sensitivity were largely enhanced with this optimized protocol. It was also confirmed in single-cell sequencing, that more genes and cell markers were identified compared to conventional sequencing method. We expect that ulRNA-seq will sequence and transcriptome characterization for the subcellular of disease tissue, to find the corresponding treatment plan.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.