ReviewHuman molecular genetics2013
The applications of single-cell genomics.
Review in Human molecular genetics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 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
18 citing papers in PubMed.
- Identification of the CD8Translational cancer research · 2024Article
- Application of single cell sequencing technology in ovarian cancer research (review).Functional & integrative genomics · 2024Review
- Integrative analysis of ferroptosis in the hypoxic microenvironment of gastric cancer unveils the immune landscape and personalized therapeutic strategies.Frontiers in oncology · 2024Article
- A Novel Defined PANoptosis-Related miRNA Signature for Predicting the Prognosis and Immune Characteristics in Clear Cell Renal Cell Carcinoma: A miRNA Signature for the Prognosis of ccRCC.International journal of molecular sciences · 2023Article
- Integrated analysis of single-cell RNA-seq and bulk RNA-seq unveils heterogeneity and establishes a novel signature for prognosis and tumor immune microenvironment in ovarian cancer.Journal of ovarian research · 2023Article
- Automated cell-type classification combining dilated convolutional neural networks with label-free acoustic sensing.Scientific reports · 2022Article
- Identification of a differentiation-related prognostic nomogram based on single-cell RNA sequencing in clear cell renal cell carcinoma.Scientific reports · 2022Article
- Single cell RNA sequencing reveals differentiation related genes with drawing implications in predicting prognosis and immunotherapy response in gliomas.Scientific reports · 2022Article
- A Cell Differentiation Trajectory-Related Signature for Predicting the Prognosis of Lung Adenocarcinoma.Genetics research · 2022Article
- Article
- Identification of Subtypes and a Prognostic Gene Signature in Colon Cancer Using Cell Differentiation Trajectories.Frontiers in cell and developmental biology · 2021Article
- New Insights From Single-Cell Sequencing Data: Synovial Fibroblasts and Synovial Macrophages in Rheumatoid Arthritis.Frontiers in immunology · 2021Review
- Predictors of consent to cell line creation and immortalisation in a South African schizophrenia genomics study.BMC medical ethics · 2018Article
- Platforms for Single-Cell Collection and Analysis.International journal of molecular sciences · 2018Review
- ANISEED 2015: a digital framework for the comparative developmental biology of ascidians.Nucleic acids research · 2016Article
- Computational modeling of drug response with applications to neuroscience.Dialogues in clinical neuroscience · 2014Review
- A perpetual source of DNA or something really different: ethical issues in the creation of cell lines for African genomics research.BMC medical ethics · 2014Article
- A new toolbox for assessing single cells.Annual review of chemical and biomolecular engineering · 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.
Funding
Abstract
We all start out as a single totipotent cell that is programmed to produce a multicellular organism. How do individual cells make those complex developmental switches? How do single cells within a tissue or organ differ, how do they coordinate their actions or go astray in a disease process? These are long-standing and fundamental questions in biology that are now becoming tractable because of advances in microfluidics, DNA amplification and DNA sequencing. Methods for studying single-cell transcriptomes (or at least the polyadenylated mRNA fraction of it) are by far the furthest ahead and reveal remarkable heterogeneity between morphologically identical cells. The analysis of genomic DNA variation is not far behind. The other 'omics' of single cells pose greater technological obstacles, but they are progressing and promise to yield highly integrated large data sets in the near future.
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.