ArticleNature biotechnology2012
Transcriptome sequencing of single cells with Smart-Seq.
Article in Nature biotechnology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 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
51 citing papers in PubMed.
- Network clustering algorithms and preprocessing pipelines for robust cell type identification in single-cell RNA sequencing data.Scientific reports · 2026Article
- sc-rDSeq: a robust and cost-effective full-length total RNA sequencing method for single cells reveals multilayered heterogeneity in drug-resistant lung cancer cells.Nucleic acids research · 2026Article
- Multi-omics Data Integration.Advances in experimental medicine and biology · 2026Review
- The recent advancements of single-cell RNA sequencing in pre-eclampsia.Frontiers in medicine · 2026Review
- Application of single-cell RNA sequencing in preeclampsia.Frontiers in global women's health · 2026Review
- Applications of single-cell analysis in immunotherapy for lung cancer: Current progress, new challenges and expectations.Journal of advanced research · 2025Review
- Gene expression changes in blastocyst hatching affect embryo implantation success in mice.Frontiers in cell and developmental biology · 2025Article
- Cell Type Differentiation Using Network Clustering Algorithms.bioRxiv : the preprint server for biology · 2024Article
- Single-cell analysis in rheumatic and allergic diseases: insights for clinical practice.Nature reviews. Immunology · 2024Review
- Single-cell RNA sequencing technology in human spermatogenesis: Progresses and perspectives.Molecular and cellular biochemistry · 2024Review
- The Advancement and Application of the Single-Cell Transcriptome in Biological and Medical Research.Biology · 2024Review
- Quantifying the clusterness and trajectoriness of single-cell RNA-seq data.PLoS computational biology · 2024Article
- Single-cell Technologies Provide Novel Insights into Liver Physiology and Pathology.Journal of clinical and translational hepatology · 2024Review
- Long-read sequencing for brain tumors.Frontiers in oncology · 2024Review
- Improving the RNA velocity approach with single-cell RNA lifecycle (nascent, mature and degrading RNAs) sequencing technologies.Nucleic acids research · 2023Article
- A new and effective two-step clustering approach for single cell RNA sequencing data.BMC genomics · 2023Article
- Insights gained from single-cell analysis of chimeric antigen receptor T-cell immunotherapy in cancer.Military Medical Research · 2023Review
- Single-cell and spatial transcriptomics: deciphering brain complexity in health and disease.Nature reviews. Neurology · 2023Review
- Single-cell RNA-seq methods to interrogate virus-host interactions.Seminars in immunopathology · 2023Review
- A current and future perspective on T cell receptor repertoire profiling.Frontiers in genetics · 2023Review
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
Indexed as
Identifiers
22871714What 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.