title: Single cell sequencing approaches for complex biological systems.
abstract: Biological phenotype is the output of complex interactions between heterogeneous cells within a specified niche. These interactions are tightly governed and regulated by the genetic, epigenetic, and transcriptional states of single cells, with deregulation of these states resulting in disease. As such, genome wide single cell investigations are bound to enhance our knowledge of the underlying principles that govern biological systems. Recent technological advances have enabled such investigations in the form of single-cell sequencing. Here, we review the most recent developments in genome wide profiling of single cells, discuss some of the novel biological observations gleaned by such investigations, and touch upon the promise of single cell sequencing in unraveling biological systems.
authors.affiliation: Department of Molecular and Cellular Biology (MCB), Stony Brook University, Stony Brook, NY 11790, United States; Cold Spring Harbor Laboratory (CSHL), Cold Spring Harbor, NY 11724, United States.
authors.forename: Timour
authors.initials: T
authors.lastname: Baslan
authors.affiliation: Cold Spring Harbor Laboratory (CSHL), Cold Spring Harbor, NY 11724, United States. Electronic address: hicks@cshl.edu.
authors.forename: James
authors.initials: J
authors.lastname: Hicks
mesh_terms: D000818:Animals; D020869:Gene Expression Profiling / Q000379:methods* / Q000639:trends; D023281:Genomics / Q000379:methods* / Q000639:trends; D005854:Germ Cells / Q000166:cytology / Q000378:metabolism; D059014:High-Throughput Nucleotide Sequencing / Q000379:methods* / Q000639:trends; D006801:Humans; D008957:Models, Genetic; D009474:Neurons / Q000166:cytology / Q000378:metabolism; D059010:Single-Cell Analysis / Q000379:methods* / Q000639:trends; D013154:Spleen / Q000166:cytology / Q000378:metabolism