Mapping human cell phenotypes to genotypes with single-cell genomics

JG Camp, R Platt, B Treutlein - Science, 2019 - science.org
The cumulative activity of all of the body's cells, with their myriad interactions, life histories,
and environmental experiences, gives rise to a condition that is distinctly human and specific …

[HTML][HTML] The covariance environment defines cellular niches for spatial inference

D Haviv, J Remšík, M Gatie, C Snopkowski… - Nature …, 2024 - nature.com
A key challenge of analyzing data from high-resolution spatial profiling technologies is to
suitably represent the features of cellular neighborhoods or niches. Here we introduce the …

A joint model of unpaired data from scRNA-seq and spatial transcriptomics for imputing missing gene expression measurements

R Lopez, A Nazaret, M Langevin, J Samaran… - arXiv preprint arXiv …, 2019 - arxiv.org
Spatial studies of transcriptome provide biologists with gene expression maps of
heterogeneous and complex tissues. However, most experimental protocols for spatial …

[HTML][HTML] SPIRAL: integrating and aligning spatially resolved transcriptomics data across different experiments, conditions, and technologies

T Guo, Z Yuan, Y Pan, J Wang, F Chen, MQ Zhang, X Li - Genome Biology, 2023 - Springer
Properly integrating spatially resolved transcriptomics (SRT) generated from different
batches into a unified gene-spatial coordinate system could enable the construction of a …

[HTML][HTML] Advances and challenges in spatial transcriptomics for developmental biology

K Choe, U Pak, Y Pang, W Hao, X Yang - Biomolecules, 2023 - mdpi.com
Development from single cells to multicellular tissues and organs involves more than just the
exact replication of cells, which is known as differentiation. The primary focus of research …

[HTML][HTML] Multiplex bioimaging of single-cell spatial profiles for precision cancer diagnostics and therapeutics

M Allam, S Cai, AF Coskun - NPJ precision oncology, 2020 - nature.com
Cancers exhibit functional and structural diversity in distinct patients. In this mass, normal
and malignant cells create tumor microenvironment that is heterogeneous among patients. A …

Clustering spatial transcriptomics data

H Teng, Y Yuan, Z Bar-Joseph - Bioinformatics, 2022 - academic.oup.com
Motivation Recent advancements in fluorescence in situ hybridization (FISH) techniques
enable them to concurrently obtain information on the location and gene expression of …

[HTML][HTML] Cerebral organoids as tools to identify the developmental roots of autism

WK Chan, R Griffiths, DJ Price, JO Mason - Molecular autism, 2020 - Springer
Some autism spectrum disorders (ASD) likely arise as a result of abnormalities during early
embryonic development of the brain. Studying human embryonic brain development directly …

[HTML][HTML] PROST: quantitative identification of spatially variable genes and domain detection in spatial transcriptomics

Y Liang, G Shi, R Cai, Y Yuan, Z Xie, L Yu… - Nature …, 2024 - nature.com
Computational methods have been proposed to leverage spatially resolved transcriptomic
data, pinpointing genes with spatial expression patterns and delineating tissue domains …

SpatialExperiment: infrastructure for spatially-resolved transcriptomics data in R using Bioconductor

D Righelli, LM Weber, HL Crowell, B Pardo… - …, 2022 - academic.oup.com
SpatialExperiment is a new data infrastructure for storing and accessing spatially-resolved
transcriptomics data, implemented within the R/Bioconductor framework, which provides …