ReviewWiley interdisciplinary reviews. Systems biology and medicine2017
Quantitative approaches for investigating the spatial context of gene expression.
Review in Wiley interdisciplinary reviews. Systems biology and medicine, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
What it found
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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
22 citing papers in PubMed.
- Advances in spatial transcriptomics and its application in the musculoskeletal system.Bone research · 2025Review
- Spatial multi-omics at subcellular resolution via high-throughput in situ pairwise sequencing.Nature biomedical engineering · 2024Article
- Mapping cancer biology in space: applications and perspectives on spatial omics for oncology.Molecular cancer · 2024Review
- Deep learning in spatial transcriptomics: Learning from the next next-generation sequencing.Biophysics reviews · 2023Review
- Application of spatial transcriptome technologies to neurological diseases.Frontiers in cell and developmental biology · 2023Review
- A guidebook of spatial transcriptomic technologies, data resources and analysis approaches.Computational and structural biotechnology journal · 2023Review
- Spatial transcriptomics using combinatorial fluorescence spectral and lifetime encoding, imaging and analysis.Nature communications · 2022Article
- SSAM-lite: A Light-Weight Web App for Rapid Analysis of Spatially Resolved Transcriptomics Data.Frontiers in genetics · 2022Article
- Application of single-cell RNA sequencing technology in liver diseases: a narrative review.Annals of translational medicine · 2021Review
- Spatial omics and multiplexed imaging to explore cancer biology.Nature methods · 2021Review
- Barcoded oligonucleotides ligated on RNA amplified for multiplexed and parallel in situ analyses.Nucleic acids research · 2021Article
- Joint cell segmentation and cell type annotation for spatial transcriptomics.Molecular systems biology · 2021Article
- Identification of Functional SSR Markers in Freshwater Ornamental Shrimps Neocaridina denticulata Using Transcriptome Sequencing.Marine biotechnology (New York, N.Y.) · 2020Article
- High-Resolution Transcriptomic and Proteomic Profiling of Heterogeneity of Brain-Derived Microglia in Multiple Sclerosis.Frontiers in molecular neuroscience · 2020Review
- Stochastic simulation and statistical inference platform for visualization and estimation of transcriptional kinetics.PloS one · 2020Article
- Power in Numbers: Single-Cell RNA-Seq Strategies to Dissect Complex Tissues.Annual review of genetics · 2018Review
- SpatialDE: identification of spatially variable genes.Nature methods · 2018Article
- Exponential scaling of single-cell RNA-seq in the past decade.Nature protocols · 2018Article
- Epitranscriptomic profiling across cell types reveals associations between APOBEC1-mediated RNA editing, gene expression outcomes, and cellular function.Proceedings of the National Academy of Sciences of the United States of America · 2017Article
- Controlled Self-assembly of Stem Cell Aggregates Instructs Pluripotency and Lineage Bias.Scientific reports · 2017Article
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
The spatial information associated with gene expression is important for elucidating the context-dependent transcriptional regulation during development. Recently, high-resolution sampling approaches, such as RNA tomography or single-cell RNA-seq combined with fluorescence in situ hybridization (FISH), have provided indirect ways to view global gene expression patterns in three dimensions. Now in situ sequencing technologies, such as fluorescent in situ sequencing (FISSEQ), are attempting to visualize the genetic signature directly in microscope images. This article will examine the basic principle of modern in situ and single-cell genetic methods, hurdles in quantifying intrinsic and extrinsic forces that influence cell decision-making, and technological requirements for making a visual map of gene regulation, form, and function. Successfully addressing these challenges will be essential for investigating the functional evolution of regulatory sequences during growth, development, and cancer progression. WIREs Syst Biol Med 2017, 9:e1369. doi: 10.1002/wsbm.1369 For further resources related to this article, please visit the WIREs website.
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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.