ArticleF1000Research2021
The need to reassess single-cell RNA sequencing datasets: the importance of biological sample processing.
Article in F1000Research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 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
13 citing papers in PubMed.
- Redefining the immune microenvironment of gliomas in the era of single-cell genomics.Neuro-oncology advances · 2026Review
- Tumour-intrinsic features shape T cell differentiation through precursor to symptomatic multiple myeloma.Nature communications · 2026Article
- Establishing single cell RNA transcriptomics: a brief guide.Frontiers in zoology · 2025Review
- Spatial Transcriptomics to Study Virus-Host Interactions.Annual review of virology · 2025Review
- A single-cell atlas of normal and KRASG12D-malformed lymphatic vessels.JCI insight · 2025Article
- High content of nuclei-free low-quality cells in reference single-cell atlases: a call for more stringent quality control using nuclear fraction.BMC genomics · 2024Article
- Community assessment of methods to deconvolve cellular composition from bulk gene expression.Nature communications · 2024Article
- Challenges and opportunities to computationally deconvolve heterogeneous tissue with varying cell sizes using single-cell RNA-sequencing datasets.Genome biology · 2023Review
- Simultaneous selection of nanobodies for accessible epitopes on immune cells in the tumor microenvironment.Nature communications · 2023Article
- Understanding Fibroblast Heterogeneity in Form and Function.Biomedicines · 2023Review
- Challenges and Opportunities for the Translation of Single-Cell RNA Sequencing Technologies to Dermatology.Life (Basel, Switzerland) · 2022Review
- The imbalance between Type 17 T-cells and regulatory immune cell subsets in psoriasis vulgaris.Frontiers in immunology · 2022Review
- The need to reassess single-cell RNA sequencing datasets: the importance of biological sample processing.F1000Research · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
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.