ReviewCurrent protocols2022
Practical Considerations for Single-Cell Genomics.
Review in Current protocols, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
11 citing papers in PubMed.
- Protocol to maximize single-nuclei multiome library complexity for limited primary tissues via optimized sample preparation and library synthesis.STAR protocols · 2026Article
- CMDdemux: an efficient single cell demultiplexing method.Nucleic acids research · 2026Article
- Review
- Overcoming resistance mechanisms in cancer immunotherapy-novel approaches and combinations.Naunyn-Schmiedeberg's archives of pharmacology · 2025Review
- Sketching T cell atlases in the single-cell era: challenges and recommendations.Immunology and cell biology · 2025Review
- Detecting gene expression in Caenorhabditis elegans.Genetics · 2025Review
- Cell2Read: an automated workflow to generate sequencing-ready DNA libraries from human cell suspensions.Biology methods & protocols · 2025Article
- snPATHO-seq, a versatile FFPE single-nucleus RNA sequencing method to unlock pathology archives.Communications biology · 2024Article
- Coding and Non-Coding Transcriptomic Landscape of Aortic Complications in Marfan Syndrome.International journal of molecular sciences · 2024Review
- MultipleXed Population Selection and Enrichment single nucleus RNA sequencing (XPoSE-seq) enables sample identity retention during transcriptional profiling of rare populations.bioRxiv : the preprint server for biology · 2023Article
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
The single-cell revolution in the field of genomics is in full bloom, with clever new molecular biology tricks appearing regularly that allow researchers to explore new modalities or scale up their projects to millions of cells and beyond. Techniques abound to measure RNA expression, DNA alterations, protein abundance, chromatin accessibility, and more, all with single-cell resolution and often in combination. Despite such a rapidly changing technology landscape, there are several fundamental principles that are applicable to the majority of experimental workflows to help users avoid pitfalls and exploit the advantages of the chosen platform. In this overview article, we describe a variety of popular single-cell genomics technologies and address some common questions pertaining to study design, sample preparation, quality control, and sequencing strategy. As the majority of relevant publications currently revolve around single-cell RNA-seq, we will prioritize this genomics modality in our discussion. © 2022 Wiley Periodicals LLC.
Indexed as
Identifiers
What OpenQuestion holds
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.