Person: Xiong, Fengzhu
Loading...
Email Address
AA Acceptance Date
Birth Date
Research Projects
Organizational Units
Job Title
Last Name
Xiong
First Name
Fengzhu
Name
Xiong, Fengzhu
5 results
Search Results
Now showing 1 - 5 of 5
Publication Nanog-like Regulates Endoderm Formation through the Mxtx2-Nodal Pathway(Elsevier, 2012) Xu, Cong; Fan, Zi Peng; Müller, Patrick; Fogley, Rachel; DiBiase, Anthony; Trompouki, Eirini; Unternaehrer, Juli; Xiong, Fengzhu; Torregroza, Ingrid; Evans, Todd; Megason, Sean; Daley, George; Schier, Alexander; Young, Richard A.; Zon, LeonardIn mammalian embryonic stem cells, the acquisition of pluripotency is dependent on Nanog, but the in vivo analysis of Nanog has been hampered by its requirement for early mouse development. In an effort to examine the role of Nanog in vivo, we identi- fied a zebrafish Nanog ortholog and found that its knockdown impaired endoderm formation. Genome-wide transcription analysis revealed that nanog-like morphants fail to develop the extraembry- onic yolk syncytial layer (YSL), which produces Nodal, required for endoderm induction. We exam- ined the genes that were regulated by Nanog-like and identified the homeobox gene mxtx2, which is both necessary and sufficient for YSL induction. Chromatin immunoprecipitation assays and genetic studies indicated that Nanog-like directly activates mxtx2, which, in turn, specifies the YSL lineage by directly activating YSL genes. Our study identifies a Nanog-like-Mxtx2-Nodal pathway and establishes a role for Nanog-like in regulating the formation of the extraembryonic tissue required for endoderm induction.Publication Integrated Analysis of Patterning, Morphogenesis, and Cell Divisions in Embryonic Development by in toto Imaging and Quantitative Cell Tracking(2013-10-18) Xiong, Fengzhu; Megason, Sean; CEPKO, CONSTANCE; FLANAGAN, JOHN; LASSAR, ANDREW; LEVIN, MICHAELPatterning, morphogenesis, and cell divisions are distinct processes during development yet are concurrent and likely highly integrated. However, it has been challenging to investigate them as a whole. Recent advances in imaging and labeling tools make it possible to observe live tissues with high coverage and resolution. In this dissertation work, we developed a novel imaging platform that allowed us to fully capture the early neural tube formation process in live zebrafish embryos at cellular resolution. Importantly, these datasets allow us to reliably track single neural progenitors. These tracks carry information on the history of cell movement, shape change, division, and gene expression all together. By comparing tracks of different progenitor fates, we found they show a spatially noisy response to Sonic hedgehog (Shh) and become specified in a positionally mixed manner, in surprising contrast to the "French Flag" morphogen patterning model. Both cell movement and division contribute to cell mixing. In addition, we decoupled the temporal and genetic regulatory network (GRN) noises in Shh interpretation using tracks that carry both Shh signaling and cell fate reporters. Our tracks suggest that, after specification, progenitors undergo sorting to self-assemble a sharp pattern. Consistent with this hypothesis, we found ectopically induced progenitors move to correct locations. Furthermore, we show that proper adhesion is required for cell sorting to happen (Chapters 2 and 3). In the cleavage stage embryos, the cells on the surface undergo shape changes followed by lineage separation and differentiation. We quantitatively measured this morphogenesis process and tracked cell divisions. By applying a mathematical model we uncover a predictive, and perhaps general link between cell division orientation, mechanical interaction, and the morphogenetic behavior of the whole surface layer (Chapter 4). Finally, we discuss the concepts and tools of cell tracking including a multi-color cell labeling method we developed by modifying the "Brainbow" system (Chapter 5). Together this dissertation showcases the importance and promise of live observation based, quantitative and integrated analysis in our understanding of complex multi-cellular developmental processes.Publication Multibow: Digital Spectral Barcodes for Cell Tracing(Public Library of Science, 2015) Xiong, Fengzhu; Obholzer, Nikolaus D.; Noche, Ramil R.; Megason, SeanWe introduce a multicolor labeling strategy (Multibow) for cell tracing experiments in developmental and regenerative processes. Building on Brainbow-based approaches that produce colors by differential expression levels of different fluorescent proteins, Multibow adds a layer of label diversity by introducing a binary code in which reporters are initially OFF and then probabilistically ON or OFF following Cre recombination. We have developed a library of constructs that contains seven different colors and three different subcellular localizations. Combining constructs from this library in the presence of Cre generates cells labeled with multiple independently expressed colors based on if each construct is ON or OFF following recombination. These labels form a unique "barcode" that allows the tracking of the cell and its clonal progenies in addition to expression level differences of each color. We tested Multibow in zebrafish which validates its design concept and suggests its utility for cell tracing applications in development and regeneration.Publication ACME: Automated Cell Morphology Extractor for Comprehensive Reconstruction of Cell Membranes(Public Library of Science, 2012) Mosaliganti, Kishore R.; Noche, Ramil; Xiong, Fengzhu; Swinburne, Ian; Megason, SeanThe quantification of cell shape, cell migration, and cell rearrangements is important for addressing classical questions in developmental biology such as patterning and tissue morphogenesis. Time-lapse microscopic imaging of transgenic embryos expressing fluorescent reporters is the method of choice for tracking morphogenetic changes and establishing cell lineages and fate maps in vivo. However, the manual steps involved in curating thousands of putative cell segmentations have been a major bottleneck in the application of these technologies especially for cell membranes. Segmentation of cell membranes while more difficult than nuclear segmentation is necessary for quantifying the relations between changes in cell morphology and morphogenesis. We present a novel and fully automated method to first reconstruct membrane signals and then segment out cells from 3D membrane images even in dense tissues. The approach has three stages: 1) detection of local membrane planes, 2) voting to fill structural gaps, and 3) region segmentation. We demonstrate the superior performance of the algorithms quantitatively on time-lapse confocal and two-photon images of zebrafish neuroectoderm and paraxial mesoderm by comparing its results with those derived from human inspection. We also compared with synthetic microscopic images generated by simulating the process of imaging with fluorescent reporters under varying conditions of noise. Both the over-segmentation and under-segmentation percentages of our method are around 5%. The volume overlap of individual cells, compared to expert manual segmentation, is consistently over 84%. By using our software (ACME) to study somite formation, we were able to segment touching cells with high accuracy and reliably quantify changes in morphogenetic parameters such as cell shape and size, and the arrangement of epithelial and mesenchymal cells. Our software has been developed and tested on Windows, Mac, and Linux platforms and is available publicly under an open source BSD license (https://github.com/krm15/ACME).Publication Attenuation of Notch and Hedgehog Signaling Is Required for Fate Specification in the Spinal Cord(Public Library of Science, 2012) Huang, Peng; Xiong, Fengzhu; Megason, Sean; Schier, AlexanderDuring the development of the spinal cord, proliferative neural progenitors differentiate into postmitotic neurons with distinct fates. How cells switch from progenitor states to differentiated fates is poorly understood. To address this question, we studied the differentiation of progenitors in the zebrafish spinal cord, focusing on the differentiation of Kolmer-Agduhr″ (KA″) interneurons from lateral floor plate (LFP) progenitors. In vivo cell tracking demonstrates that KA″ cells are generated from LFP progenitors by both symmetric and asymmetric cell divisions. A photoconvertible reporter of signaling history (PHRESH) reveals distinct temporal profiles of Hh response: LFP progenitors continuously respond to Hh, while KA″ cells lose Hh response upon differentiation. Hh signaling is required in LFP progenitors for KA″ fate specification, but prolonged Hh signaling interferes with KA″ differentiation. Notch signaling acts permissively to maintain LFP progenitor cells: activation of Notch signaling prevents differentiation, whereas inhibition of Notch signaling results in differentiation of ectopic KA″ cells. These results indicate that neural progenitors depend on Notch signaling to maintain Hh responsiveness and rely on Hh signaling to induce fate identity, whereas proper differentiation depends on the attenuation of both Notch and Hh signaling.