scholarly journals Immunohistochemical localization of phosphoenolpyruvate carboxykinase in adult and developing mouse tissues.

1990 ◽  
Vol 38 (2) ◽  
pp. 171-178 ◽  
Author(s):  
D B Zimmer ◽  
M A Magnuson
Keyword(s):  
Nervous System ◽  
Phosphoenolpyruvate Carboxykinase ◽  
Submaxillary Gland ◽  
Cell Types ◽  
Immunohistochemical Localization ◽  
Mouse Tissues ◽  
Multiple Cell ◽  
Cell Type Specific ◽  
Immunohistochemical Techniques ◽  
Developing Nervous System

We used immunohistochemical techniques to analyze the cell distribution of phosphoenolpyruvate carboxykinase (PEPCK) in adult and developing mouse tissues. PEPCK immunoreactivity was detected in many tissues, including some that had not been previously reported to contain PEPCK enzyme activity (bladder, stomach, ovary, vagina, parotid gland, submaxillary gland, and eye). In some multicellular tissues, PEPCK immunoreactivity was observed in multiple cell types. Several tissues (spleen, thyroid, and submaxillary gland) contained no detectable PEPCK immunoreactivity. During development, PEPCK immunoreactivity was associated with the developing nervous system and somites in 15-day embryos. At prenatal day 18, PEPCK immunoreactivity was detected only in the nervous system. At prenatal day 20, PEPCK immunoreactivity was observed in many of the tissues that contain PEPCK in the adult, with the exception of liver, lung, and stomach. PEPCK immunoreactivity was detected in liver at postnatal day 1, lung at postnatal day 7, and stomach after postnatal day 21. The only tissue in which PEPCK immunoreactivity decreased during development was the pancreas, where PEPCK immunoreactivity was detected at prenatal day 20 and was present until postnatal day 21. These results suggest that PEPCK expression is cell-type specific, more widespread than previously thought, and differentially expressed during development.

Clones in the chick diencephalon contain multiple cell types and siblings are widely dispersed

Development ◽  
1996 ◽  
Vol 122 (1) ◽  
pp. 65-78 ◽  
Author(s):  
J.A. Golden ◽  
C.L. Cepko
Keyword(s):  
Nervous System ◽  
Radial Glia ◽  
Third Ventricle ◽  
Cell Types ◽  
Nervous System Function ◽  
Multiple Cell ◽  
The Brain ◽  
Development Proceeds ◽  
Developing Nervous System ◽  
Vertebrate Central Nervous System

The thalamus, hypothalamus and epithalamus of the vertebrate central nervous system are derived from the embryonic diencephalon. These regions of the nervous system function as major relays between the telencephalon and more caudal regions of the brain. Early in development, the diencephalon morphologically comprises distinct units known as neuromeres or prosomeres. As development proceeds, multiple nuclei, the functional and anatomical units of the diencephalon, derive from the neuromeres. It was of interest to determine whether progenitors in the diencephalon give rise to daughters that cross nuclear or neuromeric boundaries. To this end, a highly complex retroviral library was used to infect diencephalic progenitors. Retrovirally marked clones were found to contain neurons, glia and occasionally radial glia. The majority of clones dispersed in all directions, resulting in sibling cells populating multiple nuclei within the diencephalon. In addition, several distinctive patterns of dispersion were observed. These included clones with siblings distributed bilaterally across the third ventricle, clones that originated in the lateral ventricle, clones that crossed neuromeric boundaries, and clones that crossed major boundaries of the developing nervous system, such as the diencephalon and mesencephalon. These findings demonstrate that progenitor cells in the diencephalon are multipotent and that their daughters can become widely dispersed.

scholarly journals An atlas of human proximal epididymis reveals cell-specific functions and distinct roles for CFTR

2020 ◽  
Vol 3 (11) ◽  
pp. e202000744
Author(s):  
Shih-Hsing Leir ◽  
Shiyi Yin ◽  
Jenny L Kerschner ◽  
Wilmel Cosme ◽  
Ann Harris
Keyword(s):  
Fluid Transport ◽  
Cell Types ◽  
Efferent Ducts ◽  
Molecular Events ◽  
Specific Distribution ◽  
Multiple Cell ◽  
Cell Type Specific ◽  
Marked Cell ◽  
The Individual ◽  
Male Genital

Spermatozoa released from the testis are unable to fertilize an egg without a coordinated process of maturation in the lumen of the epididymis. Relatively little is known about the molecular events that integrate this critical progression along the male genital ducts in man. Here, we use single cell RNA-sequencing to construct an atlas of the human proximal epididymis. We find that the CFTR, which is pivotal in normal epididymis fluid transport, is most abundant in surface epithelial cells in the efferent ducts and in rare clear cells in the caput epididymis, suggesting region-specific functional properties. We reveal transcriptional signatures for multiple cell clusters, which identify the individual roles of principal, apical, narrow, basal, clear, halo, and stromal cells in the epididymis. A marked cell type–specific distribution of function is seen along the duct with local specialization of individual cell types integrating processes of sperm maturation.

scholarly journals Predicting gene regulatory networks from cell atlases

2020 ◽  
Author(s):  
Andreas Fønss Møller ◽  
Kedar Nath Natarajan
Keyword(s):  
Single Cell ◽  
Gene Regulatory Networks ◽  
Regulatory Networks ◽  
Cell Types ◽  
Mouse Cell ◽  
Cell Type ◽  
Integrated Network ◽  
Mouse Tissues ◽  
Cell Type Specific ◽  
Gene Regulatory

AbstractRecent single-cell RNA-sequencing atlases have surveyed and identified major cell-types across different mouse tissues. Here, we computationally reconstruct gene regulatory networks from 3 major mouse cell atlases to capture functional regulators critical for cell identity, while accounting for a variety of technical differences including sampled tissues, sequencing depth and author assigned cell-type labels. Extracting the regulatory crosstalk from mouse atlases, we identify and distinguish global regulons active in multiple cell-types from specialised cell-type specific regulons. We demonstrate that regulon activities accurately distinguish individual cell types, despite differences between individual atlases. We generate an integrated network that further uncovers regulon modules with coordinated activities critical for cell-types, and validate modules using available experimental data. Inferring regulatory networks during myeloid differentiation from wildtype and Irf8 KO cells, we uncover functional contribution of Irf8 regulon activity and composition towards monocyte lineage. Our analysis provides an avenue to further extract and integrate the regulatory crosstalk from single-cell expression data.SummaryIntegrated single-cell gene regulatory network from three mouse cell atlases captures global and cell-type specific regulatory modules and crosstalk, important for cellular identity.

scholarly journals Biological Functions of HMGN Chromosomal Proteins

2020 ◽  
Vol 21 (2) ◽  
pp. 449
Author(s):  
Ravikanth Nanduri ◽  
Takashi Furusawa ◽  
Michael Bustin
Keyword(s):  
Biological Function ◽  
High Mobility ◽  
Cell Types ◽  
Vertebrate Development ◽  
Cellular Functions ◽  
Cell Identity ◽  
Multiple Cell ◽  
Cell Type Specific ◽  
Nucleosome Binding ◽  
Regulatory Sites

Chromatin plays a key role in regulating gene expression programs necessary for the orderly progress of development and for preventing changes in cell identity that can lead to disease. The high mobility group N (HMGN) is a family of nucleosome binding proteins that preferentially binds to chromatin regulatory sites including enhancers and promoters. HMGN proteins are ubiquitously expressed in all vertebrate cells potentially affecting chromatin function and epigenetic regulation in multiple cell types. Here, we review studies aimed at elucidating the biological function of HMGN proteins, focusing on their possible role in vertebrate development and the etiology of disease. The data indicate that changes in HMGN levels lead to cell type-specific phenotypes, suggesting that HMGN optimize epigenetic processes necessary for maintaining cell identity and for proper execution of specific cellular functions. This manuscript contains tables that can be used as a comprehensive resource for all the English written manuscripts describing research aimed at elucidating the biological function of the HMGN protein family.

scholarly journals The Effect of Glucocorticoid and Glucocorticoid Receptor Interactions on Brain, Spinal Cord, and Glial Cell Plasticity

2017 ◽  
Vol 2017 ◽  
pp. 1-8 ◽  
Author(s):  
Kathryn M. Madalena ◽  
Jessica K. Lerch
Keyword(s):  
Spinal Cord ◽  
Nervous System ◽  
Glucocorticoid Receptor ◽  
Cell Types ◽  
Cell Type ◽  
Cell Plasticity ◽  
Stress Injury ◽  
Receptor Interactions ◽  
Cell Type Specific ◽  
Adaptation And Learning

Stress, injury, and disease trigger glucocorticoid (GC) elevation. Elevated GCs bind to the ubiquitously expressed glucocorticoid receptor (GR). While GRs are in every cell in the nervous system, the expression level varies, suggesting that diverse cell types react differently to GR activation. Stress/GCs induce structural plasticity in neurons, Schwann cells, microglia, oligodendrocytes, and astrocytes as well as affect neurotransmission by changing the release and reuptake of glutamate. While general nervous system plasticity is essential for adaptation and learning and memory, stress-induced plasticity is often maladaptive and contributes to neuropsychiatric disorders and neuropathic pain. In this brief review, we describe the evidence that stress/GCs activate GR to promote cell type-specific changes in cellular plasticity throughout the nervous system.

scholarly journals A high-throughput microfluidic bilayer co-culture platform to study endothelial-pericyte interactions

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Miles T. Rogers ◽  
Ashley L. Gard ◽  
Robert Gaibler ◽  
Thomas J. Mulhern ◽  
Rivka Strelnikov ◽  
...  
Keyword(s):  
High Throughput ◽  
Fluid Shear Stress ◽  
Cell Types ◽  
Fluid Shear ◽  
Multiple Cell ◽  
Cell Type Specific ◽  
On Chip ◽  
Tissue Models ◽  
Macromolecular Permeability

AbstractMicrophysiological organ-on-chip models offer the potential to improve the prediction of drug safety and efficacy through recapitulation of human physiological responses. The importance of including multiple cell types within tissue models has been well documented. However, the study of cell interactions in vitro can be limited by complexity of the tissue model and throughput of current culture systems. Here, we describe the development of a co-culture microvascular model and relevant assays in a high-throughput thermoplastic organ-on-chip platform, PREDICT96. The system consists of 96 arrayed bilayer microfluidic devices containing retinal microvascular endothelial cells and pericytes cultured on opposing sides of a microporous membrane. Compatibility of the PREDICT96 platform with a variety of quantifiable and scalable assays, including macromolecular permeability, image-based screening, Luminex, and qPCR, is demonstrated. In addition, the bilayer design of the devices allows for channel- or cell type-specific readouts, such as cytokine profiles and gene expression. The microvascular model was responsive to perturbations including barrier disruption, inflammatory stimulation, and fluid shear stress, and our results corroborated the improved robustness of co-culture over endothelial mono-cultures. We anticipate the PREDICT96 platform and adapted assays will be suitable for other complex tissues, including applications to disease models and drug discovery.

scholarly journals Cell-type-specific alternative polyadenylation (APA) genes reveal the function of dynamic APA in complex tissues

2020 ◽  
Author(s):  
Yulong Bai ◽  
Yidi Qin ◽  
Zhenjiang Fan ◽  
Robert M. Morrison ◽  
KyongNyon Nam ◽  
...  
Keyword(s):  
Mouse Brain ◽  
Peripheral Blood ◽  
Human Peripheral Blood ◽  
Alternative Polyadenylation ◽  
Cell Types ◽  
Cell Type ◽  
Simulation Data ◽  
Multiple Cell ◽  
Cell Type Specific ◽  
Brain Data

ABSTRACTAlternative polyadenylation (APA) causes shortening or lengthening of the 3’-untranslated region (3’-UTR) of genes across multiple cell types. Bioinformatic tools have been developed to identify genes that are affected by APA (APA genes) in single-cell RNA-Seq (scRNA-Seq) data. However, they suffer from low power, and they cannot identify APA genes specific to each cell type (cell-type-specific APA) when multiple cell types are analyzed. To address these limitations, we developed scMAPA that systematically integrates two novel steps. First, scMAPA quantifies 3’-UTR long and short isoforms without requiring assumptions on the read density shape of input data. Second, scMAPA estimates the significance of the APA genes for each cell type while controlling confounders. In the analyses on our novel simulation data and human peripheral blood mono cellular data, scMAPA showed enhanced power in identifying APA genes. Further, in mouse brain data, scMAPA identifies cell-type-specific APA genes, improving interpretability for the cell-type-specific function of APA. We further showed that this improved interpretability helps to understand a novel role of APA on the interaction between neurons and blood vessels, which is critical to maintaining the operational condition of brains. With high sensitivity and interpretability, scMAPA shed novel insights into the function of dynamic APA in complex tissues.Key PointsWe developed a bioinformatic tool, scMAPA, that identifies dynamic APA across multiple cell types and a novel simulation pipeline to assess performance of such tools in APA calling.In simulation data of various scenarios from our novel simulation pipeline, scMAPA achieves sensitivity with a minimal loss of specificity.In human peripheral blood monocellular data, scMAPA identifies APA genes accurately and robustly, finding unique associations of APA with hematological processes.scMAPA identifies APA genes specific to each cell type in mouse brain data while controlling confounders that sheds novel insights into the complex molecular processes.

scholarly journals A Single Cell Transcriptomic Atlas Characterizes Aging Tissues in the Mouse

2019 ◽  
Author(s):  
◽  
Angela Oliveira Pisco ◽  
Aaron McGeever ◽  
Nicholas Schaum ◽  
Jim Karkanias ◽  
...  
Keyword(s):  
Single Cell ◽  
Cell Types ◽  
Cell Type ◽  
Cellular Processes ◽  
Progressive Loss ◽  
Age Related ◽  
Multiple Cell ◽  
Cell Type Specific ◽  
Molecular Information ◽  
Insight Into

AbstractAging is characterized by a progressive loss of physiological integrity, leading to impaired function and increased vulnerability to death1. Despite rapid advances over recent years, many of the molecular and cellular processes which underlie progressive loss of healthy physiology are poorly understood2. To gain a better insight into these processes we have created a single cell transcriptomic atlas across the life span of Mus musculus which includes data from 23 tissues and organs. We discovered cell-specific changes occurring across multiple cell types and organs, as well as age related changes in the cellular composition of different organs. Using single-cell transcriptomic data we were able to assess cell type specific manifestations of different hallmarks of aging, such as senescence3, genomic instability4 and changes in the organism’s immune system2. This Tabula Muris Senis provides a wealth of new molecular information about how the most significant hallmarks of aging are reflected in a broad range of tissues and cell types.

scholarly journals Regulation of immunoreactive GAP-43 expression in rat cortical macroglia is cell type specific.

1990 ◽  
Vol 111 (1) ◽  
pp. 209-215 ◽  
Author(s):  
A da Cunha ◽  
L Vitković
Keyword(s):  
Nervous System ◽  
Developmental Regulation ◽  
Cell Types ◽  
Type I ◽  
Cell Type ◽  
System Type ◽  
The Central Nervous System ◽  
Cell Type Specific

Growth-associated protein 43 (GAP-43) is an abundant, intensely investigated membrane phosphoprotein of the nervous system (Benowitz, L.I., and A. Routtenberg. 1987. Trends Neurosci. 10:527-532; Skene, J. H. P. 1989. Annu. Rev. Neurosci. 12:127-156), with a hitherto unknown function. We have previously demonstrated that astrocytes, brain macroglial cells, contain GAP-43 (Steisslinger, H. W., V. J. Aloyo, and L. Vitković, 1987. Brain Res. 415:375-379; Vitković, L., H. W. Steisslinger, V. J. Aloyo, and M. Mersel. 1988. Proc. Natl. Acad. Sci. USA. 85:8296-8300; Vitković L., and M. Mersel. 1989. Metab. Brain Dis. 4:47-53). Results from double immunofluorescent labeling experiments presented here show that oligodendrocytes also contain GAP-43 immunoreactivity (GAP-43ir). Thus, all three macroglial cell types of the central nervous system (type I and type 2 astrocytes and oligodendrocytes) contain GAP-43. Whereas immunoreactive GAP-43 is expressed by progenitors of all macroglial cell types, the developmental regulation of its expression is cell type specific. Immunoreactive GAP-43 is downregulated in type 1 astrocytes, and constitutively expressed in both type 2 astrocytes and oligodendrocytes. These results may be relevant to potential function(s) of GAP-43.

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