ArticleSingle cell biology2014
Single Cell Analysis: From Technology to Biology and Medicine.
Article in Single cell biology, 2014. 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, 42 citations in OpenAlex.
- Digital PCR for Single-Cell Analysis.Biosensors · 2024Review
- XCVATR: detection and characterization of variant impact on the Embeddings of single -cell and bulk RNA-sequencing samples.BMC genomics · 2022Article
- Development and Validation of a Competitive ELISA Based on Bovine Monoclonal Antibodies for the Detection of Neutralizing Antibodies against Foot-and-Mouth Disease Virus Serotype A.Journal of clinical microbiology · 2022Article
- Early stem cell aging in the mature brain.Cell stem cell · 2021Article
- CaSpER identifies and visualizes CNV events by integrative analysis of single-cell or bulk RNA-sequencing data.Nature communications · 2020Article
- Detecting heterogeneity in single-cell RNA-Seq data by non-negative matrix factorization.PeerJ · 2017Article
- Improved Vaccine against PRRSV: Current Progress and Future Perspective.Frontiers in microbiology · 2017Review
- Droplet Microarray Based on Superhydrophobic-Superhydrophilic Patterns for Single Cell Analysis.Microarrays (Basel, Switzerland) · 2016Article
- Gene expression variability in mammalian embryonic stem cells using single cell RNA-seq data.Computational biology and chemistry · 2016Article
- Single Cell Isolation and Analysis.Frontiers in cell and developmental biology · 2016Review
- Multiplex single cell profiling of chromatin accessibility by combinatorial cellular indexing.Science (New York, N.Y.) · 2015Article
- Cancer: we should not forget the past.Journal of Cancer · 2015Review
- Interrelationship between type three secretion system and metabolism in pathogenic bacteria.Frontiers in cellular and infection microbiology · 2014Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
1 author at 1 institution in 1 country.
Funding
Abstract
Single-cell analysis heralds a new era that allows "omics" analysis, notably genomics, transcriptomics, epigenomics and proteomics at the single-cell level. It enables the identification of the minor subpopulations that may play a critical role in a biological process of a population of cells, which conventionally are regarded as homogeneous. It provides an ultra-sensitive tool to clarify specific molecular mechanisms and pathways and reveal the nature of cell heterogeneity. It also facilitates the clinical investigation of patients when a very low quantity or a single cell is available for analysis, such as noninvasive prenatal diagnosis and cancer screening, and genetic evaluation for in vitro fertilization. Within a few short years, single-cell analysis, especially whole genomic sequencing and transcriptomic sequencing, is becoming robust and broadly accessible, although not yet a routine practice. Here, with single cell RNA-seq emphasized, an overview of the discipline, progresses, and prospects of single-cell analysis and its applications in biology and medicine are given with a series of logic and theoretical considerations.
Indexed as
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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.