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Computational Biology of Embryogenesis: Strain Maps and Cell Fates
Computational Biology of Embryogenesis: Strain Maps and Cell Fates
상세정보
- 자료유형
- 학위논문 서양
- 최종처리일시
- 20250211153027
- ISBN
- 9798346759003
- DDC
- 574
- 서명/저자
- Computational Biology of Embryogenesis: Strain Maps and Cell Fates
- 발행사항
- [Sl] : Princeton University, 2024
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2024
- 형태사항
- 127 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 86-06, Section: B.
- 주기사항
- Advisor: Shvartsman, Stanislav Y.
- 학위논문주기
- Thesis (Ph.D.)--Princeton University, 2024.
- 초록/해제
- 요약Gastrulation and early cell fate decisions in embryonic development are critical processes that shape the formation of multi-layered embryos and distinct germ layers, ultimately giving rise to various tissues and organs. Research across species has illuminated the mechanisms of gastrulation, highlighting localized epithelial deformations and the importance of quantifying strain tensors to understand the dynamics at the embryo scale. These tensors describe the differences in cell configurations over time, enabling insights into morphogenetic movements. In a complementary study of the preimplantation mouse embryo, the segregation of epiblast and primitive endoderm cell types has emerged as a model for understanding the balance between predetermined and stochastic developmental patterns. Using quantitative live imaging of tagged transcription factors, an initial symmetry breaking event linked to the dynamics of prior cell fate decisions was identified. Notably, epiblast precursor cells, influenced by SOX2 expression, initiate FGF4 signaling that drives differentiation toward the primitive endoderm fate. This differentiation rate, however, is modulated by the stochastic expression of NANOG in individual cells. Together, these studies provide a unified perspective on the interplay of mechanical dynamics and molecular features during early embryonic development, emphasizing the significance of both deterministic and stochastic processes in shaping developmental trajectories.
- 일반주제명
- Developmental biology
- 일반주제명
- Cellular biology
- 일반주제명
- Epidemiology
- 키워드
- Embryogenesis
- 기타저자
- Princeton University Quantitative Computational Biology
- 기본자료저록
- Dissertations Abstracts International. 86-06B.
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
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■020 ▼a9798346759003
■035 ▼a(MiAaPQ)AAI31634358
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a574
■1001 ▼aDenberg, David William.▼0(orcid)0000-0001-7798-0746
■24510▼aComputational Biology of Embryogenesis: Strain Maps and Cell Fates
■260 ▼a[Sl]▼bPrinceton University▼c2024
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2024
■300 ▼a127 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 86-06, Section: B.
■500 ▼aAdvisor: Shvartsman, Stanislav Y.
■5021 ▼aThesis (Ph.D.)--Princeton University, 2024.
■520 ▼aGastrulation and early cell fate decisions in embryonic development are critical processes that shape the formation of multi-layered embryos and distinct germ layers, ultimately giving rise to various tissues and organs. Research across species has illuminated the mechanisms of gastrulation, highlighting localized epithelial deformations and the importance of quantifying strain tensors to understand the dynamics at the embryo scale. These tensors describe the differences in cell configurations over time, enabling insights into morphogenetic movements. In a complementary study of the preimplantation mouse embryo, the segregation of epiblast and primitive endoderm cell types has emerged as a model for understanding the balance between predetermined and stochastic developmental patterns. Using quantitative live imaging of tagged transcription factors, an initial symmetry breaking event linked to the dynamics of prior cell fate decisions was identified. Notably, epiblast precursor cells, influenced by SOX2 expression, initiate FGF4 signaling that drives differentiation toward the primitive endoderm fate. This differentiation rate, however, is modulated by the stochastic expression of NANOG in individual cells. Together, these studies provide a unified perspective on the interplay of mechanical dynamics and molecular features during early embryonic development, emphasizing the significance of both deterministic and stochastic processes in shaping developmental trajectories.
■590 ▼aSchool code: 0181.
■650 4▼aDevelopmental biology
■650 4▼aCellular biology
■650 4▼aEpidemiology
■653 ▼aBiophysical model
■653 ▼aCell specification
■653 ▼aComputational model
■653 ▼aDrosophila gastrulation
■653 ▼aEmbryogenesis
■690 ▼a0758
■690 ▼a0379
■690 ▼a0766
■71020▼aPrinceton University▼bQuantitative Computational Biology.
■7730 ▼tDissertations Abstracts International▼g86-06B.
■790 ▼a0181
■791 ▼aPh.D.
■792 ▼a2024
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17164652▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.
