scholarly journals Bioconductor workflow for single-cell RNA sequencing: Normalization, dimensionality reduction, clustering, and lineage inference

F1000Research ◽  
2017 ◽  
Vol 6 ◽  
pp. 1158 ◽  
Author(s):  
Fanny Perraudeau ◽  
Davide Risso ◽  
Kelly Street ◽  
Elizabeth Purdom ◽  
Sandrine Dudoit
Keyword(s):  
Stem Cell ◽  
Cell Differentiation ◽  
Dimensionality Reduction ◽  
Single Cell ◽  
Single Cells ◽  
Differential Expression Analysis ◽  
Stem Cell Differentiation ◽  
Cell Types ◽  
Cell Clustering ◽  
Cell Transcriptome

Novel single-cell transcriptome sequencing assays allow researchers to measure gene expression levels at the resolution of single cells and offer the unprecendented opportunity to investigate at the molecular level fundamental biological questions, such as stem cell differentiation or the discovery and characterization of rare cell types. However, such assays raise challenging statistical and computational questions and require the development of novel methodology and software. Using stem cell differentiation in the mouse olfactory epithelium as a case study, this integrated workflow provides a step-by-step tutorial to the methodology and associated software for the following four main tasks: (1) dimensionality reduction accounting for zero inflation and over dispersion and adjusting for gene and cell-level covariates; (2) cell clustering using resampling-based sequential ensemble clustering; (3) inference of cell lineages and pseudotimes; and (4) differential expression analysis along lineages.

scholarly journals Transformative opportunities for single-cell proteomics

2018 ◽  
Author(s):  
Harrison Specht ◽  
Nikolai Slavov
Keyword(s):  
Mass Spectrometry ◽  
Stem Cell ◽  
Cell Differentiation ◽  
Single Cell ◽  
Single Cells ◽  
Biological Systems ◽  
Stem Cell Differentiation ◽  
New Age ◽  
Technological Developments

Many pressing medical challenges - such as diagnosing disease, enhancing directed stem cell differentiation, and classifying cancers - have long been hindered by limitations in our ability to quantify proteins in single cells. Mass-spectrometry (MS) is poised to transcend these limitations by developing powerful methods to routinely quantify thousands of proteins and proteoforms across many thousands of single cells. We outline specific technological developments and ideas that can increase the sensitivity and throughput of single cell MS by orders of magnitude and usher in this new age. These advances will transform medicine and ultimately contribute to understanding biological systems on an entirely new level.

scholarly journals Ultra-multiplexed analysis of single-cell dynamics reveals logic rules in differentiation

2019 ◽  
Vol 5 (4) ◽  
pp. eaav7959 ◽  
Author(s):  
Ce Zhang ◽  
Hsiung-Lin Tu ◽  
Gengjie Jia ◽  
Tanzila Mukhtar ◽  
Verdon Taylor ◽  
...  
Keyword(s):  
Stem Cell ◽  
Cell Differentiation ◽  
Single Cell ◽  
Cell Fate ◽  
Single Cell Analysis ◽  
Single Cells ◽  
Critical Role ◽  
Stem Cell Differentiation ◽  
Cell Fate Decisions ◽  
Cellular Microenvironments

Dynamical control of cellular microenvironments is highly desirable to study complex processes such as stem cell differentiation and immune signaling. We present an ultra-multiplexed microfluidic system for high-throughput single-cell analysis in precisely defined dynamic signaling environments. Our system delivers combinatorial and time-varying signals to 1500 independently programmable culture chambers in week-long live-cell experiments by performing nearly 106 pipetting steps, where single cells, two-dimensional (2D) populations, or 3D neurospheres are chemically stimulated and tracked. Using our system and statistical analysis, we investigated the signaling landscape of neural stem cell differentiation and discovered “cellular logic rules” that revealed the critical role of signal timing and sequence in cell fate decisions. We find synergistic and antagonistic signal interactions and show that differentiation pathways are highly redundant. Our system allows dissection of hidden aspects of cellular dynamics and enables accelerated biological discovery.

scholarly journals Transformative opportunities for single-cell proteomics

2018 ◽  
Author(s):  
Harrison Specht ◽  
Nikolai Slavov
Keyword(s):  
Mass Spectrometry ◽  
Stem Cell ◽  
Cell Differentiation ◽  
Single Cell ◽  
Single Cells ◽  
Biological Systems ◽  
Stem Cell Differentiation ◽  
New Age ◽  
Technological Developments

Many pressing medical challenges - such as diagnosing disease, enhancing directed stem cell differentiation, and classifying cancers - have long been hindered by limitations in our ability to quantify proteins in single cells. Mass-spectrometry (MS) is poised to transcend these limitations by developing powerful methods to routinely quantify thousands of proteins and proteoforms across many thousands of single cells. We outline specific technological developments and ideas that can increase the sensitivity and throughput of single cell MS by orders of magnitude and usher in this new age. These advances will transform medicine and ultimately contribute to understanding biological systems on an entirely new level.

scholarly journals Routinely quantifying single cell proteomes: A new age in quantitative biology and medicine

2018 ◽  
Author(s):  
Harrison Specht ◽  
Nikolai Slavov
Keyword(s):  
Mass Spectrometry ◽  
Stem Cell ◽  
Cell Differentiation ◽  
Single Cell ◽  
Single Cells ◽  
Biological Systems ◽  
Stem Cell Differentiation ◽  
New Age ◽  
Quantitative Biology ◽  
Technological Developments

Many pressing medical challenges -- such as diagnosing disease, enhancing directed stem cell differentiation, and classifying cancers -- have long been hindered by limitations in our ability to quantify proteins in single cells. Mass-spectrometry (MS) is poised to transcend these limitations by developing powerful methods to routinely quantify thousands of proteins and proteoforms across many thousands of single cells. We outline specific technological developments and ideas that can increase the sensitivity and throughput of single cell MS by orders of magnitude and usher in this new age. These advances will transform medicine and ultimately contribute to understanding biological systems on an entirely new level.

Functional Evaluation of Neural Stem Cell Differentiation by Single Cell Calcium Imaging

2011 ◽  
Vol 6 (3) ◽  
pp. 288-296 ◽  
Author(s):  
Maria Francisca Eiriz ◽  
Sofia Grade ◽  
Alexandra Rosa ◽  
Sara Xapelli ◽  
Liliana Bernardino ◽  
...  
Keyword(s):  
Stem Cell ◽  
Cell Differentiation ◽  
Single Cell ◽  
Neural Stem Cell ◽  
Calcium Imaging ◽  
Stem Cell Differentiation ◽  
Functional Evaluation ◽  
Cell Calcium

scholarly journals HiCluster: A Robust Single-Cell Hi-C Clustering Method Based on Convolution and Random Walk

2018 ◽  
Author(s):  
Jingtian Zhou ◽  
Jianzhu Ma ◽  
Yusi Chen ◽  
Chuankai Cheng ◽  
Bokan Bao ◽  
...  
Keyword(s):  
Random Walk ◽  
Single Cell ◽  
Clustering Algorithm ◽  
Single Cell Analysis ◽  
Single Cells ◽  
Genome Structure ◽  
Real Data ◽  
Cell Types ◽  
3D Genome ◽  
Cell Clustering

3D genome structure plays a pivotal role in gene regulation and cellular function. Single-cell analysis of genome architecture has been achieved using imaging and chromatin conformation capture methods such as Hi-C. To study variation in chromosome structure between different cell types, computational approaches are needed that can utilize sparse and heterogeneous single-cell Hi-C data. However, few methods exist that are able to accurately and efficiently cluster such data into constituent cell types. Here, we describe HiCluster, a single-cell clustering algorithm for Hi-C contact matrices that is based on imputations using linear convolution and random walk. Using both simulated and real data as benchmarks, HiCluster significantly improves clustering accuracy when applied to low coverage Hi-C datasets compared to existing methods. After imputation by HiCluster, structures similar to topologically associating domains (TADs) could be identified within single cells, and their consensus boundaries among cells were enriched at the TAD boundaries observed in bulk samples. In summary, HiCluster facilitates visualization and comparison of single-cell 3D genomes.

scholarly journals Single-cell landscape of nuclear configuration and gene expression during stem cell differentiation and X inactivation

2020 ◽  
Author(s):  
Giancarlo Bonora ◽  
Vijay Ramani ◽  
Ritambhara Singh ◽  
He Fang ◽  
Dana Jackson ◽  
...  
Keyword(s):  
Gene Expression ◽  
Stem Cell ◽  
Cell Differentiation ◽  
Single Cell ◽  
Embryonic Stem ◽  
Stem Cell Differentiation ◽  
Chromatin Accessibility ◽  
X Inactivation ◽  
Specific Structure ◽  
X Chromosomes

AbstractMammalian development is associated with extensive changes in gene expression, chromatin accessibility, and nuclear structure. Here, we follow such changes associated with mouse embryonic stem cell differentiation and X inactivation by integrating, for the first time, allele-specific data obtained by high-throughput single-cell RNA-seq, ATAC-seq, and Hi-C. In differentiated cells, contact decay profiles, which clearly distinguish the active and inactive X chromosomes, reveal loss of the inactive X-specific structure at mitosis followed by a rapid reappearance, suggesting a ‘bookkeeping’ mechanism. In differentiating embryonic stem cells, changes in contact decay profiles are detected in parallel on both the X chromosomes and autosomes, suggesting profound simultaneous reorganization. The onset of the inactive X-specific structure in single cells is notably delayed relative to that of gene silencing, consistent with the idea that chromatin compaction is a late event of X inactivation. Novel computational approaches to effectively align single-cell gene expression, chromatin accessibility, and 3D chromosome structure reveal that long-range structural changes to chromosomes appear as discrete events, unlike progressive changes in gene expression and chromatin accessibility.

scholarly journals CATaDa reveals global remodelling of chromatin accessibility during stem cell differentiation in vivo

eLife ◽  
2018 ◽  
Vol 7 ◽  
Author(s):  
Gabriel N Aughey ◽  
Alicia Estacio Gomez ◽  
Jamie Thomson ◽  
Hang Yin ◽  
Tony D Southall
Keyword(s):  
Stem Cells ◽  
Stem Cell ◽  
Cell Differentiation ◽  
Ectopic Expression ◽  
Stem Cell Differentiation ◽  
Cell Types ◽  
Regulatory Elements ◽  
Chromatin Accessibility ◽  
Global Changes

During development eukaryotic gene expression is coordinated by dynamic changes in chromatin structure. Measurements of accessible chromatin are used extensively to identify genomic regulatory elements. Whilst chromatin landscapes of pluripotent stem cells are well characterised, chromatin accessibility changes in the development of somatic lineages are not well defined. Here we show that cell-specific chromatin accessibility data can be produced via ectopic expression of E. coli Dam methylase in vivo, without the requirement for cell-sorting (CATaDa). We have profiled chromatin accessibility in individual cell-types of Drosophila neural and midgut lineages. Functional cell-type-specific enhancers were identified, as well as novel motifs enriched at different stages of development. Finally, we show global changes in the accessibility of chromatin between stem-cells and their differentiated progeny. Our results demonstrate the dynamic nature of chromatin accessibility in somatic tissues during stem cell differentiation and provide a novel approach to understanding gene regulatory mechanisms underlying development.

scholarly journals Glycosaminoglycans as regulators of stem cell differentiation

2011 ◽  
Vol 39 (1) ◽  
pp. 383-387 ◽  
Author(s):  
Raymond A.A. Smith ◽  
Kate Meade ◽  
Claire E. Pickford ◽  
Rebecca J. Holley ◽  
Catherine L.R. Merry
Keyword(s):  
Stem Cell ◽  
Cell Differentiation ◽  
Es Cells ◽  
Three Dimensional ◽  
Embryonic Stem ◽  
Stem Cell Differentiation ◽  
Cell Types ◽  
Specific Pattern ◽  
Embryonic Stem Cell Differentiation ◽  
Specific Cell

ES (embryonic stem) cell differentiation is dependent on the presence of HS (heparan sulfate). We have demonstrated that, during differentiation, the evolution of specific cell lineages is associated with particular patterns of GAG (glycosaminoglycan) expression. For example, different HS epitopes are synthesized during neural or mesodermal lineage formation. Cell lines mutant for various components of the HS biosynthetic pathway are selectively impaired in their differentiation, with lineage-specific effects observed for some lines. We have also observed that the addition of soluble GAG saccharides to cells, with or without cell-surface HS, can influence the pace and outcome of differentiation, again highlighting specific pattern requirements for particular lineages. We are combining this work with ongoing studies into the design of artificial cell environments where we have optimized three-dimensional scaffolds, generated by electrospinning or by the formation of hydrogels, for the culture of ES cells. By permeating these scaffolds with defined GAG oligosaccharides, we intend to control the mechanical environment of the cells (via the scaffold architecture) as well as their biological signalling environment (using the oligosaccharides). We predict that this will allow us to control ES cell pluripotency and differentiation in a three-dimensional setting, allowing the generation of differentiated cell types for use in drug discovery/testing or in therapeutics.

Sign in / Sign up

Export Citation Format

Share Document