The Drosophila mushroom body is a quadruple structure of clonal units each of which contains a virtually identical set of neurones and glial cells

Development ◽  
1997 ◽  
Vol 124 (4) ◽  
pp. 761-771 ◽  
Author(s):  
K. Ito ◽  
W. Awano ◽  
K. Suzuki ◽  
Y. Hiromi ◽  
D. Yamamoto
Keyword(s):  
Glial Cells ◽  
Sensory Integration ◽  
Mushroom Body ◽  
Expression Patterns ◽  
Cell Lineage ◽  
Cell Types ◽  
Enhancer Trap ◽  
Adult Brain ◽  
A New Technique ◽  
Lineage Analysis

The mushroom body (MB) is an important centre for higher order sensory integration and learning in insects. To analyse the development and organisation of the MB neuropile in Drosophila, we performed cell lineage analysis in the adult brain with a new technique that combines the Flippase (flp)/FRT system and the GAL4/UAS system. We showed that the four mushroom body neuroblasts (MBNbs) give birth exclusively to the neurones and glial cells of the MB, and that each of the four MBNb clones contributes to the entire MB structure. The expression patterns of 19 GAL4 enhancer-trap strains that mark various subsets of MB cells revealed overlapping cell types in all four of the MBNb lineages. Partial ablation of MBNbs using hydroxyurea showed that each of the four neuroblasts autonomously generates the entire repertoire of the known MB substructures.

Fate mapping and cell lineage analysis of Hensen's node in the chick embryo

Development ◽  
1991 ◽  
Vol 112 (2) ◽  
pp. 615-626 ◽  
Author(s):  
M.A. Selleck ◽  
C.D. Stern
Keyword(s):  
Chick Embryo ◽  
Cell Lineage ◽  
Primitive Streak ◽  
Cell Types ◽  
Intracellular Injection ◽  
Anterior Midline ◽  
Stage 4 ◽  
Separate Region ◽  
Notochord Cells ◽  
Lineage Analysis

Fate maps of chick Hensen's node were generated using DiI and the lineage of individual cells studied by intracellular injection of lysine-rhodamine-dextran (LRD). The cell types contained within the node are organized both spatially and temporally. At the definitive primitive streak stage (Hamburger and Hamilton stage 4), Hensen's node contains presumptive notochord cells mainly in its anterior midline and presumptive somite cells in more lateral regions. Early in development it also contains presumptive endoderm cells. At all stages studied (stages 3–9), some individual cells contribute progeny to more than one of these tissues. The somitic precursors in Hensen's node only contribute to the medial halves of the somites. The lateral halves of the somites are derived from a separate region in the primitive streak, caudal to Hensen's node.

scholarly journals A Novel Drosophila Alkaline Phosphatase Specific to the Ellipsoid Body of the Adult Brain and the Lower Malpighian (Renal) Tubule

Genetics ◽  
2000 ◽  
Vol 154 (1) ◽  
pp. 285-297 ◽  
Author(s):  
Ming Yao Yang ◽  
Zongsheng Wang ◽  
Matthew MacPherson ◽  
Julian A T Dow ◽  
Kim Kaiser
Keyword(s):  
Alkaline Phosphatase ◽  
Expression Patterns ◽  
Fluid Secretion ◽  
Regulatory Elements ◽  
Enhancer Trap ◽  
Adult Brain ◽  
P Element ◽  
Renal Tubules ◽  
Genomic Locus ◽  
Ellipsoid Body

Abstract Two independent Drosophila melanogaster P{GAL4} enhancer-trap lines revealed identical GAL4-directed expression patterns in the ellipsoid body of the brain and in the Malpighian (renal) tubules in the abdomen. Both P-element insertions mapped to the same chromosomal site (100B2). The genomic locus, as characterized by plasmid rescue of flanking DNA, restriction mapping, and DNA sequencing, revealed the two P{GAL4} elements to be inserted in opposite orientations, only 46 bp apart. Three genes flanking the insertions have been identified. Calcineurin A1 (previously mapped to 21E-F) lies to one side, and two very closely linked genes lie to the other. The nearer encodes Aph-4, the first Drosophila alkaline phosphatase gene to be identified; the more distant gene [l(3)96601] is novel, with a head-elevated expression, and with distant similarity to transcription regulatory elements. Both in situ hybridization with Aph-4 probes and direct histochemical determination of alkaline phosphatase activity precisely matches the enhancer-trap pattern reported by the original lines. Although the P-element insertions are not recessive lethals, they display tubule phenotypes in both heterozygotes and homozygotes. Rates of fluid secretion in tubules from c507 homozygotes are reduced, both basally, and after stimulation by CAP2b, cAMP, or Drosophila leucokinin. The P-element insertions also disrupt the expression of Aph-4, causing misexpression in the tubule main segment. This disruption extends to tubule pigmentation, with c507 homozygotes displaying white-like transparent main segments. These results suggest that Aph-4, while possessing a very narrow range of expression, nonetheless plays an important role in epithelial function.

scholarly journals Neural crest lineage analysis: from past to future trajectory

Development ◽  
2020 ◽  
Vol 147 (20) ◽  
pp. dev193193 ◽  
Author(s):  
Weiyi Tang ◽  
Marianne E. Bronner
Keyword(s):  
Neural Crest ◽  
Cell Fate ◽  
Single Molecule ◽  
Cell Lineage ◽  
Neural Crest Cell ◽  
Cell Types ◽  
Lineage Tracing ◽  
Migration Routes ◽  
Developmental Potential ◽  
Lineage Analysis

ABSTRACTSince its discovery 150 years ago, the neural crest has intrigued investigators owing to its remarkable developmental potential and extensive migratory ability. Cell lineage analysis has been an essential tool for exploring neural crest cell fate and migration routes. By marking progenitor cells, one can observe their subsequent locations and the cell types into which they differentiate. Here, we review major discoveries in neural crest lineage tracing from a historical perspective. We discuss how advancing technologies have refined lineage-tracing studies, and how clonal analysis can be applied to questions regarding multipotency. We also highlight how effective progenitor cell tracing, when combined with recently developed molecular and imaging tools, such as single-cell transcriptomics, single-molecule fluorescence in situ hybridization and high-resolution imaging, can extend the scope of neural crest lineage studies beyond development to regeneration and cancer initiation.

scholarly journals A Mammalian enhancer trap resource for discovering and manipulating neuronal cell types

eLife ◽  
2016 ◽  
Vol 5 ◽  
Author(s):  
Yasuyuki Shima ◽  
Ken Sugino ◽  
Chris Martin Hempel ◽  
Masami Shima ◽  
Praveen Taneja ◽  
...  
Keyword(s):  
Expression Patterns ◽  
Neuronal Cell ◽  
Cell Types ◽  
Enhancer Trap ◽  
Marker Genes ◽  
Cell Type ◽  
Reporter Expression ◽  
Other Information ◽  
Bac Transgenesis ◽  
Cell Type Specific

There is a continuing need for driver strains to enable cell-type-specific manipulation in the nervous system. Each cell type expresses a unique set of genes, and recapitulating expression of marker genes by BAC transgenesis or knock-in has generated useful transgenic mouse lines. However, since genes are often expressed in many cell types, many of these lines have relatively broad expression patterns. We report an alternative transgenic approach capturing distal enhancers for more focused expression. We identified an enhancer trap probe often producing restricted reporter expression and developed efficient enhancer trap screening with the PiggyBac transposon. We established more than 200 lines and found many lines that label small subsets of neurons in brain substructures, including known and novel cell types. Images and other information about each line are available online (enhancertrap.bio.brandeis.edu).

Distinct expression patterns detected within individual tissues by the GAL4 enhancer trap technique

Genome ◽  
1996 ◽  
Vol 39 (1) ◽  
pp. 174-182 ◽  
Author(s):  
Kerstin Gustafson ◽  
Gabrielle L. Boulianne
Keyword(s):  
Gene Expression ◽  
Transcriptional Control ◽  
Germ Line ◽  
Expression Patterns ◽  
Cell Types ◽  
Enhancer Trap ◽  
P Element ◽  
Immunocytochemical Staining ◽  
Specific Cell ◽  
Drosophila Genome

To identify genes that are expressed in specific cell types or tissues during development, we generated enhancer-trap lines in which the yeast transcriptional activator, GAL4, was mobilized throughout the Drosophila genome. The GAL4 lines are part of a two-part system involving GAL4 and its target, the upstream activating sequence (UAS). Detection of GAL4 expression patterns was achieved by crossing individual GAL4 lines with flies carrying the reporter gene lacZ under the transcriptional control of the UAS followed by histochemical and immunocytochemical staining. Here, we present the results of this screen and the characterization of GAL4 lines that show distinct patterns of gene expression during Drosophila development, including embryogenesis, oogenesis, and imaginai disc development. However, we were unable to identify GAL4 lines that were expressed within the germ line or during early embryogenesis. Furthermore, consistent with previous results, we found that the GAL4 enhancer trap technique had a much lower frequency of transposition than has been reported for lacZ enhancer trap screens. Taken together, these results demonstrate both the strengths and weaknesses of the GAL4 enhancer trap technique for identifying unique patterns of gene expression during development. Key words : GAL4, enhancer trap, Drosophila, P element.

Neural induction and regionalisation by different subpopulations of cells in Hensen's node

Development ◽  
1995 ◽  
Vol 121 (2) ◽  
pp. 417-428 ◽  
Author(s):  
K.G. Storey ◽  
M.A. Selleck ◽  
C.D. Stern
Keyword(s):  
Chick Embryo ◽  
Cell Lineage ◽  
Neural Induction ◽  
Neural Tissue ◽  
Cell Types ◽  
Neural Cells ◽  
Cell Type ◽  
Prechordal Plate ◽  
Gut Endoderm ◽  
Lineage Analysis

Cell lineage analysis has revealed that the amniote organizer, Hensen's node, is subdivided into distinct regions, each containing a characteristic subpopulation of cells with defined fates. Here, we address the question of whether the inducing and regionalising ability of Hensen's node is associated with a specific subpopulation. Quail explants from Hensen's node are grafted into an extraembryonic site in a host chick embryo allowing host- and donor-derived cells to be distinguished. Cell-type- and region-specific markers are used to assess the fates of the mesodermal and neural cells that develop. We find that neural inducing ability is localised in the epiblast layer and the mesendoderm (deep portion) of the medial sector of the node. The deep portion of the posterolateral part of the node does not have neural inducing ability. Neural induction also correlates with the presence of particular prospective cell types in our grafts: chordamesoderm (notochord/head process), definitive (gut) endoderm or neural tissue. However, only grafts that include the epiblast layer of the node induce neural tissue expressing a complete range of anteroposterior characteristics, although prospective prechordal plate cells may also play a role in specification of the forebrain.

Ultrasturcture of cerebellar cells and neuropil in rats subjected to partial global cerebral ischemia

1986 ◽  
Vol 44 ◽  
pp. 126-127
Author(s):  
R.V.W. Dimlich ◽  
M.H. Biros
Keyword(s):  
Purkinje Cells ◽  
Glial Cells ◽  
Granule Cells ◽  
Molecular Layer ◽  
Cell Types ◽  
Primary Objective ◽  
Global Cerebral Ischemia ◽  
Forebrain Ischemia ◽  
Substantial Evidence ◽  
Cerebellar Cells

Although a previous study in this laboratory determined that Purkinje cells of the rat cerebellum did not appear to be damaged following 30 min of forebrain ischemia followed by 30 min of reperfusion, it was suggested that an increase in rough endoplasmic reticulum (RER) and/or polysomes had occurred in these cells. The primary objective of the present study was to morphometrically determine whether or not this increase had occurred. In addition, since there is substantial evidence that glial cells may be affected by ischemia earlier than other cell types, glial cells also were examined. To ascertain possible effects on other cerebellar components, granule cells and neuropil near Purkinje cells as well as neuropil in the molecular layer also were evaluated in this investigation.

scholarly journals Selective deletion of SHIP-1 in hematopoietic cells in mice leads to severe lung inflammation involving ILC2 cells

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Xujun Ye ◽  
Fengrui Zhang ◽  
Li Zhou ◽  
Yadong Wei ◽  
Li Zhang ◽  
...  
Keyword(s):  
Lung Inflammation ◽  
Airway Remodeling ◽  
Pulmonary Inflammation ◽  
Hematopoietic Cells ◽  
Cell Lineage ◽  
Allergic Inflammation ◽  
Cell Types ◽  
Lymphoid Cells ◽  
Whole Body

AbstractSrc homology 2 domain–containing inositol 5-phosphatase 1 (SHIP-1) regulates the intracellular levels of phosphotidylinositol-3, 4, 5-trisphosphate, a phosphoinositide 3–kinase (PI3K) product. Emerging evidence suggests that the PI3K pathway is involved in allergic inflammation in the lung. Germline or induced whole-body deletion of SHIP-1 in mice led to spontaneous type 2-dominated pulmonary inflammation, demonstrating that SHIP-1 is essential for lung homeostasis. However, the mechanisms by which SHIP-1 regulates lung inflammation and the responsible cell types are still unclear. Deletion of SHIP-1 selectively in B cells, T cells, dendritic cells (DC) or macrophages did not lead to spontaneous allergic inflammation in mice, suggesting that innate immune cells, particularly group 2 innate lymphoid cells (ILC2 cells) may play an important role in this process. We tested this idea using mice with deletion of SHIP-1 in the hematopoietic cell lineage and examined the changes in ILC2 cells. Conditional deletion of SHIP-1 in hematopoietic cells in Tek-Cre/SHIP-1 mice resulted in spontaneous pulmonary inflammation with features of type 2 immune responses and airway remodeling like those seen in mice with global deletion of SHIP-1. Furthermore, when compared to wild-type control mice, Tek-Cre/SHIP-1 mice displayed a significant increase in the number of IL-5/IL-13 producing ILC2 cells in the lung at baseline and after stimulation by allergen Papain. These findings provide some hints that PI3K signaling may play a role in ILC2 cell development at baseline and in response to allergen stimulation. SHIP-1 is required for maintaining lung homeostasis potentially by restraining ILC2 cells and type 2 inflammation.

scholarly journals Identifying cell types from single-cell data based on similarities and dissimilarities between cells

2021 ◽  
Vol 22 (S3) ◽  
Author(s):  
Yuanyuan Li ◽  
Ping Luo ◽  
Yi Lu ◽  
Fang-Xiang Wu
Keyword(s):  
Gene Expression ◽  
Single Cell ◽  
Spectral Clustering ◽  
Incidence Matrix ◽  
Expression Patterns ◽  
Cell Types ◽  
Clustering Method ◽  
Different Types ◽  
Cell Data ◽  
Spectral Clustering Method

Abstract Background With the development of the technology of single-cell sequence, revealing homogeneity and heterogeneity between cells has become a new area of computational systems biology research. However, the clustering of cell types becomes more complex with the mutual penetration between different types of cells and the instability of gene expression. One way of overcoming this problem is to group similar, related single cells together by the means of various clustering analysis methods. Although some methods such as spectral clustering can do well in the identification of cell types, they only consider the similarities between cells and ignore the influence of dissimilarities on clustering results. This methodology may limit the performance of most of the conventional clustering algorithms for the identification of clusters, it needs to develop special methods for high-dimensional sparse categorical data. Results Inspired by the phenomenon that same type cells have similar gene expression patterns, but different types of cells evoke dissimilar gene expression patterns, we improve the existing spectral clustering method for clustering single-cell data that is based on both similarities and dissimilarities between cells. The method first measures the similarity/dissimilarity among cells, then constructs the incidence matrix by fusing similarity matrix with dissimilarity matrix, and, finally, uses the eigenvalues of the incidence matrix to perform dimensionality reduction and employs the K-means algorithm in the low dimensional space to achieve clustering. The proposed improved spectral clustering method is compared with the conventional spectral clustering method in recognizing cell types on several real single-cell RNA-seq datasets. Conclusions In summary, we show that adding intercellular dissimilarity can effectively improve accuracy and achieve robustness and that improved spectral clustering method outperforms the traditional spectral clustering method in grouping cells.

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