Results 51 to 60 of about 3,543,075 (195)
Single-cell proteomics differentiates Arabidopsis root cell types
New PhytologistAbstractRecently, major advances have enabled the exploration of cellular heterogeneity using single-cell proteomics. Here we examine the feasibility of single-cell proteomics on plant samples. We focus onArabidopsis thaliana, examining isolated single cells from the cortex and endodermis, which are two adjacent root cell-types derived from a common ...
Christian Montes +3 more
openaire +2 more sources
BMC Bioinformatics, 2019 Background Single cell RNA sequencing (scRNA-seq) brings unprecedented opportunities for mapping the heterogeneity of complex cellular environments such as bone marrow, and provides insight into many cellular processes.
Sergii Domanskyi +5 more
doaj +1 more source
Cellular taxonomy and spatial organization of the murine ventral posterior hypothalamus
eLife, 2020 The ventral posterior hypothalamus (VPH) is an anatomically complex brain region implicated in arousal, reproduction, energy balance, and memory processing.
Laura E Mickelsen +7 more
doaj +1 more source
Identification of visual cortex cell types and species differences using single-cell RNA sequencing
Nature Communications, 2022 The primate neocortex exerts high cognitive ability and strong information processing capacity. Here, we establish a single-cell RNA sequencing dataset of 133,454 macaque visual cortical cells.
Jia-Ru Wei +10 more
doaj +1 more source
Single muscle fiber proteomics reveals unexpected mitochondrial specialization [PDF]
, 2015 Mammalian skeletal muscles are composed of multinucleated cells termed slow or fast fibers according to their contractile and metabolic properties. Here, we developed a high-sensitivity workflow to characterize the proteome of single fibers.
A. S., Deshmukh +8 more
core +1 more source
Jointly defining cell types from multiple single-cell datasets using LIGER [PDF]
Nature Protocols, 2020 AbstractHigh-throughput single-cell sequencing technologies hold tremendous potential for defining cell types in an unbiased fashion using gene expression and epigenomic state. A key challenge in realizing this potential is integrating single-cell datasets from multiple protocols, biological contexts, and data modalities into a joint definition of ...
Jialin Liu +5 more
openaire +3 more sources
Nature Communications, 2018 Single cell RNA-sequencing analysis poses challenges in replication due to technical biases and analytic variability among bioinformatics pipelines. Here, Crow et al develop MetaNeighbor for measuring cell-type replication across datasets, and use it to ...
Megan Crow +4 more
doaj +1 more source
Cell type matching in single-cell RNA-sequencing data using FR-Match
Scientific Reports, 2022 Reference cell atlases powered by single cell and spatial transcriptomics technologies are becoming available to study healthy and diseased tissue at single cell resolution.
Yun Zhang +3 more
doaj +1 more source
A human lung tumor microenvironment interactome identifies clinically relevant cell-type cross-talk. [PDF]
, 2020 BackgroundTumors comprise a complex microenvironment of interacting malignant and stromal cell types. Much of our understanding of the tumor microenvironment comes from in vitro studies isolating the interactions between malignant cells and a single ...
Azizi, Armon +19 more
core +4 more sources
scCATCH: Automatic Annotation on Cell Types of Clusters from Single-Cell RNA Sequencing Data
iScience, 2020 Summary: Recent advancements in single-cell RNA sequencing (scRNA-seq) have facilitated the classification of thousands of cells through transcriptome profiling, wherein accurate cell type identification is critical for mechanistic studies.
Xin Shao +5 more
doaj +1 more source