The fate of the CNS midline progenitors in Drosophila as revealed by a new method for single cell labelling

Development ◽  
1994 ◽  
Vol 120 (7) ◽  
pp. 1895-1906 ◽  
Author(s):  
T. Bossing ◽  
G.M. Technau

We present a new method for marking single cells and tracing their development through embryogenesis. Cells are labelled with a lipophilic fluorescent tracer (DiI) in their normal positions without impaling their membranes. The dye does not diffuse between cells but is transferred to the progeny, disclosing their morphology in all detail. Behaviour of labelled cells can be observed in vivo (cell divisions, morphogenetic movements and differentiation). Following photoconversion of the dye, fully differentiated clones can be analyzed in permanent preparations. We apply this method for cell lineage analysis of the embryonic Drosophila CNS. Here we describe the fate of the CNS midline cells. We present the complete lineages of these cells in the fully differentiated embryo and show that variability exists in segmental numbers of the midline progenitors as well as in the composition of their lineages.

Development ◽  
1997 ◽  
Vol 124 (22) ◽  
pp. 4571-4582 ◽  
Author(s):  
M. Sonnenfeld ◽  
M. Ward ◽  
G. Nystrom ◽  
J. Mosher ◽  
S. Stahl ◽  
...  

The Drosophila single-minded and trachealess bHLH-PAS genes control transcription and development of the CNS midline cell lineage and tracheal tubules, respectively. We show that Single-minded and Trachealess activate transcription by forming dimers with the Drosophila Tango protein that is an orthologue of the mammalian Arnt protein. Both cell culture and in vivo studies show that a DNA enhancer element acts as a binding site for both Single-minded::Tango and Trachealess::Tango heterodimers and functions in controlling CNS midline and tracheal transcription. Isolation and analysis of tango mutants reveal CNS midline and tracheal defects, and gene dosage studies demonstrate in vivo interactions between single-minded::tango and trachealess::tango. These experiments support the existence of an evolutionarily conserved, functionally diverse bHLH-PAS protein regulatory system.


Development ◽  
1998 ◽  
Vol 125 (17) ◽  
pp. 3291-3299 ◽  
Author(s):  
G. Udolph ◽  
J. Urban ◽  
G. Rusing ◽  
K. Luer ◽  
G.M. Technau

The Drosophila ventral nerve cord derives from a stereotype population of about 30 neural stem cells, the neuroblasts, per hemineuromere. Previous experiments provided indications for inductive signals at ventral sites of the neuroectoderm that confer neuroblast identities. Using cell lineage analysis, molecular markers and cell transplantation, we show here that EGF receptor signalling plays an instructive role in CNS patterning and exerts differential effects on dorsoventral subpopulations of neuroblasts. The Drosophila EGF receptor (DER) is capable of cell autonomously specifiying medial and intermediate neuroblast cell fates. DER signalling appears to be most critical for proper development of intermediate neuroblasts and less important for medial neuroblasts. It is not required for lateral neuroblast lineages or for cells to adopt CNS midline cell fate. Thus, dorsoventral patterning of the CNS involves both DER-dependent and -independent regulatory pathways. Furthermore, we discuss the possibility that different phases of DER activation exist during neuroectodermal patterning with an early phase independent of midline-derived signals.


Blood ◽  
2010 ◽  
Vol 116 (21) ◽  
pp. 178-178
Author(s):  
Liran I Shlush ◽  
Noa Chapal ◽  
Rivka Adar ◽  
Shai Izraeli ◽  
Jacob M. Rowe ◽  
...  

Abstract Abstract 178 Introduction: Leukemic cells are heterogeneous in many ways, and specifically in replication rates. Dormancy and quiescence particularly among leukemia stem cells (LSCs) have been suggested to play a pivotal role in leukemia resistance to chemotherapy. This has been suggested in chronic leukemia, but never proven in acute leukemia, where most cancer cells divide frequently, and it is not known which subpopulation causes relapse. Cell lineage analysis of single leukemia cells can describe the variable kinetics of leukemia subpopulations by studying the evolutionary genetic changes between diagnosis and relapse in the same patient, and hence potentially pinpoint the relapse population already at diagnosis. In the current study a novel methodology was used in order to describe the evolutionary history of single leukemia cells. The reconstruction of phylogenetic trees from single cells can shed light of the relative number of replications of each cell (depth), and the diversity and heterogeneity of the tumor. Method: Phylogenetic analysis was applied to single cells from peripheral blood of two acute myeloid leukemia (AML) patients (n≂F40 cells from each patient), sampled at diagnosis and relapse. Leukemia and T cells were separated by FACS. T cells, which were not part of the malignant AML clone served for the validation of sorting. Single cells underwent whole genome amplification followed by PCR reactions amplifying 120 microsatellite (MS) loci, using a high throughput robotic and computer aided systems. As MSs accumulate genetic variation during replication, the phylogenetic tree of the malignancies can be reconstructed from the genetic changes in MSs between the cells and the application of a neighbor joining algorithm. The relative depth of cells was calculated from the genetic distance of each cell from the root of the tree, which was designated as the median value of all cells for a specific MS. Result: In the reconstructed cell lineage trees of both AML patients (L1 n=41 leukemia cells; L2 n=43 leukemia cells), cells at relapse were shallow compared to cells at diagnosis, implying that they originate from cells that divided rarely prior to relapse (p<10e-5, p<0.0001, L1 and L2 respectively) (Figure 1). Furthermore for patient L2 single LSCs, LIN- CD34+ CD38- CD90+ from diagnosis, were analyzed (n=21 LSCs), and were found to be shallower than the general population of leukemia cells at diagnosis (p=0.01), but deeper than leukemia cells at relapse (p=0.036) (Figure 1). T cells in both AML patients were clustered on a different branch of the lineage tree (L1 n=32, p<10-6; L2 n=29, p=7.4*10-6). Conclusion: A novel single cell phylogenetic approach applied to AML cells uncovered the role of dormancy and LSCs in AML relapse. As chemotherapy preferentially targets rapidly-dividing cells, dormant cells are positively selected to resist chemotherapy at least in some AML patients. In such cases, in order to prevent relapse, leukemia therapy must also target such rarely-dividing leukemia cells. We have further demonstrated that LSCs are genetically correlated to the rarely dividing cells at relapse. The ability of cell lineage analysis to identify rarely dividing cells and correlate them to LSCs and possibly to normal stem cells already at diagnosis may enable their characterization and hence the design of improved targeted and personalized therapy for leukemia and other types of cancer with similar relapse mechanisms. Furthermore, this evolutionary-based approach can also shed more light on the diversity of leukemia in a time scale and uncover other chemotherapy resistance mechanisms. Phylogenetic trees of leukemia single cells at diagnosis and relapse from 2 AML patients. a, L1: Left – reconstructed lineage tree of CD33+ CD4+ CD15- peripheral blood (PB) individual leukemia cells at diagnosis (full, n=14); and relapse (blank, n=27) for patient L1; The root was determined by calculation of the median signal of all cells. Right - comparison of median depth between cells at diagnosis (full) and relapse (blank), (p<10^-5). b, L2: Left – reconstructed lineage tree of CD117+ PB individual leukemia blast cells at diagnosis (full, n=33), LSCs LIN-CD34+ CD38- CD90+ (gray, n=21) and relapse(blank, n=10) for patient L2. Right - Comparison of median depth between cells at diagnosis (full) and relapse (blank), (p=0.0001). Y axis represents depth in arbitrary units (logarithmic scale). Disclosures: No relevant conflicts of interest to declare.


2018 ◽  

AbstractThe last decade has seen a renewed appreciation of the central importance of cellular lineages to many questions in biology (especially organogenesis, stem cells and tumor biology). This has been driven in part by a renaissance in genetic clonal-labeling techniques. Recent approaches are based on accelerated mutation of DNA sequences, which can then be sequenced from individual cells to re-create a “phylogenetic” tree of cell lineage. However, current approaches depend on making transgenic alterations to the genome in question, which limit their application. Here, we introduce a new method which completely avoids the need for prior genetic engineering, by identifying endogenous CRISPR target arrays suitable for lineage analysis. In both mouse and zebrafish we identify the highest quality compact arrays as judged by equal base composition, 5’ G sequence, minimal likelihood of residing in the functional genome, minimal off targets and ease of amplification. We validate multiple high quality endogenous CRISPR arrays, demonstrating their utility for lineage tracing. Our technique thus can produce deep and broad lineages in vivo, while removing the dependence on genetic engineering, and also avoiding the need for single-cell analysis.


2017 ◽  
Author(s):  
Liming Tao ◽  
Ofir Raz ◽  
Zipora Marx ◽  
Manjusha Gosh ◽  
Sandra Huber ◽  
...  

Cell lineage analysis aims to uncover the developmental history of an organism back to its cell of origin1. Recently, novel in vivo methods and technologies utilizing genome editing enabled important insights into the cell lineages of animals2–8. In contrast, human cell lineage remains restricted to retrospective approaches, which still lack in resolution and cost-efficient solutions. Here we demonstrate a scalable platform for human cell lineage tracing based on Short Tandem Repeats (STRs) targeted by duplex Molecular Inversion Probes (MIPs). With this platform we accurately reproduced a known lineage of DU145 cell lines cells9 and reconstructed lineages of healthy and metastatic single cells from a melanoma patient. The reconstructed trees matched the anatomical and SNV references while adding further refinements. Our platform allowed to faithfully recapitulate lineages of developmental tissue formation in cells from healthy donors. In summary, our lineage discovery platform can profile informative STR somatic mutations efficiently and we provide a solid, high-resolution lineage reconstruction even in challenging low-mutation-rate healthy single cells.


2002 ◽  
Vol 82 (6) ◽  
pp. 781-788 ◽  
Author(s):  
Jérôme Gournay ◽  
Isabelle Auvigne ◽  
Virginie Pichard ◽  
Catherine Ligeza ◽  
Marie-Pierre Bralet ◽  
...  

2008 ◽  
Vol 275 (1638) ◽  
pp. 1023-1028 ◽  
Author(s):  
Carsten Wolff ◽  
Gerhard Scholtz

We present the first comparative cell lineage analysis of uniramous and biramous limbs of an arthropod, the crustacean Orchestia cavimana . Via single cell labelling of the cells that are involved in limb development, we are able to present the first complete clonal composition of an arthropod limb. We show that the two main branches of crustacean limbs, exopod and endopod, are formed by a secondary subdivision of the growth zone of the main limb axis. Additional limb outgrowths such as exites result from the establishment of new axes. In contrast to general belief, uniramous limbs in Orchestia are not formed by the loss of the exopod but by suppression of the split into exopod and endopod. Our results offer a developmental approach to discriminate between the different kinds of branches of arthropod appendages. This leads to the conclusion that a ‘true’ biramous limb comprising an endopod and an exopod might have occurred much later in euarthropod evolution than has previously been thought, probably either in the lineage of the Mandibulata or that of the Tetraconata.


Hepatology ◽  
2002 ◽  
Vol 35 (2) ◽  
pp. 281-288 ◽  
Author(s):  
Isabelle Auvigne ◽  
Virginie Pichard ◽  
Dominique Aubert ◽  
Nelly Robillard ◽  
Nicolas Ferry

2001 ◽  
Vol 230 (2) ◽  
pp. 230-242 ◽  
Author(s):  
Yaz Y Kisanuki ◽  
Robert E Hammer ◽  
Jun-ichi Miyazaki ◽  
S.Clay Williams ◽  
James A Richardson ◽  
...  

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