Systems Analysis of cell type differentiation in Xenopus development
Systems Analysis of cell type differentiation in Xenopus development
批准号:
10625740
负责人:
MARC Wallace KIRSCHNER
金额:
$31.51万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2012
资助国家:
美国
项目状态:
已结题
起止时间:
2012-09-01 至 2023-05-31
关键词:
ActivinsAddressAdoptedAdultAnimal CapBayesian MethodBehaviorBiochemical PathwayBiologicalBiological ModelsBiologyCatalogsCell LineageCellsClustered Regularly Interspaced Short Palindromic RepeatsComputing MethodologiesDataData SetDatabasesDevelopmentDiseaseEctodermEmbryoEmbryonic DevelopmentEventEvolutionExposure toFetusGene ExpressionGenesGeneticGenetic TranscriptionGoalsGrantIndividualInternetInvestmentsKnowledgeLateralLeadLesionLigandsLinkLiteratureMachine LearningMalignant NeoplasmsMass Spectrum AnalysisMeasurementMeasuresMesoderm CellMessenger RNAMethodsModelingMolecularMuscleMutationNodalOrganOrganogenesisPathway interactionsPatternPeptidesPharmaceutical PreparationsPhenotypePhosphopeptidesPhosphorylated PeptidePhosphorylationPlant RootsPoisonProteinsProteomicsRNARNA libraryRanaRegulator GenesRegulatory PathwayResolutionResourcesSeriesSignal TransductionSignaling MoleculeSpecific qualifier valueSpectrometryStatistical ModelsSystemSystems AnalysisTechniquesTechnologyTestingTimeTissuesTranscriptXenopusXenopus laevisbaseblastomere structurecell typecluster computingcourse developmenteggembryo cellexperimental studygene regulatory networkhatchingindexinginnovationknock-downmathematical methodsmathematical modelnotochordnovelphosphoproteomicspredictive modelingresponsesingle cell proteinssingle-cell RNA sequencingtemporal measurementtooltranscription factortranscriptomicsvertebrate embryosxenopus development
中文摘要
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英文摘要
Summary
The pathways involved in embryonic development have been a rich resource for understanding disease in
adults, as well as being critically important in tracing the effects of genetic lesions and environmental poisons
in the fetus. Frog embryos have been particularly useful due to the large size of the frog egg and embryo. New
tools we developed for measuring the expression of RNA at a single-cell level, and advances in protein and
phosphopeptide measurement technologies, offer hope for dramatic progress in understanding how signals
involved in the maturation of the embryo direct individual cells to adopt specific fates. Our first goal is to define
cell types using single-cell transcriptomics, and to define the lineages that result in specific cell types using high
resolution temporal mappings. Targeted transcriptomics and proteomics of important molecules involved in
specifying cell fate, such as transcription factors, will provide an index of the levels of signaling activity in each
individual cell. This will result in an unprecedentedly detailed molecular picture of the factors involved in
producing the phenotypes, and their interconversions from the early cleavage stage to the middle of
organogenesis.
The Xenopus model system allows us to dissect out portions of the early embryo that differentiate to ectoderm
if not disturbed, called the animal cap. In the context of the embryo the cells in the animal cap receive a
number of developmental signals, including Nodal, BMP, and Wnt. Combinations of these three signals (in
different proportions) are capable of generating many of the major tissues. We will expose animal caps to a
matrix of these three signals and trace the differentiation pathways that result, using single-cell RNA
sequencing. This study of the molecular roots of differentiation decisions will be used to develop a
mathematical approach, based on machine learning, to predicting the results of an attempted perturbation of
the development of Xenopus. We will ask whether cell types are carefully specified by tightly controlled
combinations of ligands or whether there are default states that are hard to escape from ("basins of
attraction"), that therefore form the majority of embryonic cell types. The answer to this question is central to
our understanding of how the Xenopus embryo reliably develops into a frog, and will accelerate efforts to
create computational methods to predict the behavior of other biological pathways such as those involved in
cancer.
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DOI:
10.1016/j.ydbio.2022.10.013
发表时间:
2023-01
期刊:
DEVELOPMENTAL BIOLOGY
影响因子:
2.7
作者:
[Itallie, Elizabeth S. Van, Field, Christine M., Mitchison, Timothy J., Kirschner, Marc W.]
通讯作者:
Kirschner, Marc W.
A newly identified myomegalin isoform functions in Golgi microtubule organization and ER-Golgi transport.
新发现的肌巨蛋白亚型在高尔基体微管组织和内质网-高尔基体运输中发挥作用。
DOI:
10.1242/jcs.155408
发表时间:
2014
期刊:
Journal of cell science
影响因子:
4
作者:
[Wang,Zhe, Zhang,Chao, Qi,RobertZ]
通讯作者:
Qi,RobertZ
DOI:
10.1371/journal.pone.0040177
发表时间:
2012
期刊:
PloS one
影响因子:
3.7
作者:
[Kim S, Peshkin L, Mitchison TJ]
通讯作者:
Mitchison TJ
Transcriptomic insights into genetic diversity of protein-coding genes in X. laevis.
对非洲虎蛋白质编码基因遗传多样性的转录组学见解。
DOI:
10.1016/j.ydbio.2017.02.019
发表时间:
2017
期刊:
Developmental biology
影响因子:
2.7
作者:
[Savova,Virginia, Pearl,EstherJ, Boke,Elvan, Nag,Anwesha, Adzhubei,Ivan, Horb,MarkoE, Peshkin,Leonid]
通讯作者:
Peshkin,Leonid
Toward an unbiased evolutionary platform for unraveling Xenopus developmental gene networks.
迈向一个无偏进化平台,以揭示Xenopus发育基因网络。
DOI:
10.1002/dvg.20811
发表时间:
2012-03
期刊:
Genesis (New York, N.Y. : 2000)
影响因子:
--
作者:
[Beer R, Wagner F, Grishkevich V, Peshkin L, Yanai I]
通讯作者:
Yanai I
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依托单位:
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海外基金