Introduction to Single Cell Molecular

In addition, we will present our established methods as an example of combines above tools with single-cell molecular expression analysis to reveal the fate of migrating cells at single cell level.

Our study provides a useful resource for future studies that use single-cell molecular profiling strategies to understand normal and malignant breast development.

Our study highlights the potential of single-cell molecular characterization in understanding and improving thyroid maturation and paves the way for identification of therapeutic targets against thyroid disorders.

Single-cell molecular tools have been developed at an incredible pace over the last five years as sequencing costs continue to drop and numerous molecular assays have been coupled to sequencing readouts.

Additionally, we performed DEPArray cell sorting to infer the feasibility to select and isolate cells of interest, aiming towards downstream single-cell molecular characterization in future studies.

Our study highlights the potential of single-cell molecular characterization in understanding and improving thyroid maturation and paves the way for identification of therapeutic targets against thyroid disorders.

Tumorigenesis was visualized using whole-gland fluorescent lineage tracing and single-cell molecular pathology.

In this issue, Zhang and colleagues provide a single-cell molecular atlas of this region, opening new possibilities for harnessing its neurons in vivo.

The recent advent of high-throughput single-cell molecular profiling is revolutionizing biology and medicine by unveiling the diversity of cell types and states contributing to development and disease.

Background Tissues are often heterogeneous in their single-cell molecular expression, and this can govern the regulation of cell fate.

Recent advances in single-cell molecular and phenotypic profiling have highlighted the intra and inter-patient heterogeneous nature of AML, which has so far limited the success of cell-based immunotherapy approaches against single targets.

Modeling clonal cell population as statistical ensembles of the same dynamical system, a index IC is derived for detecting destabilization towards critical transitions in single-cell molecular profiles.

Single-cell molecular analysis of enriched, patient-derived circulating tumor cells (CTCs) further revealed predictive biomarkers for metastatic risk.

Single-cell molecular analyses have led to the identification of new cell types1 and the discovery of novel targets for diagnosis and therapy2.

We use the single-cell molecular analysis on house keeping genes, apoptosis genes, metabolism genes, Epithelial genes, EMT genes, metastasis genes, stem cell genes, and proliferation genes.

Recent advances in single-cell molecular analytical methods and clonal growth assays are enabling more refined models of human hematopoietic lineage restriction processes to be conceptualized.

The technique has been rapidly embraced by the hematopoiesis research community, and like other technologies before, single-cell molecular profiling is widely expected to make important contributions to our understanding of the hematopoietic hierarchy.

The use of computational tools and methodologies such as single-cell molecular analyses, in addition to model system-derived data, are discussed as a way to gain a more complete understanding of genotype–phenotype relations.

Recent advances in single-cell molecular profiling of circulating tumor cells and host cells using next-generation sequencing has dramatically expanded the pool of potentially useful predictive biomarkers.

Single-cell molecular profiling technologies are gaining rapid traction, but the manual process by which resulting cell types are typically annotated is labor intensive and rate-limiting.