paper-with-me

홈 › Papers

Initial Luminally Deposited FGF4 Critically Influences Blastocyst Patterning

2025-05-29 · Michael A. Ramirez-Sierra, Thomas R. Sokolowski

Luminogenesis, the formation of a fluid-filled cavity (lumen), is an essential process in early mammalian embryonic development, coinciding with the second cell-fate decision that differentiates the inner-cell-mass (ICM) into epiblast (EPI) and primitive endoderm (PRE) tissues. Based on experiments, the blastocyst lumen is hypothesized to influence EPI-PRE tissue specification, but its particular functional role remains theoretically underexplored. In this study, we extended our stochastic ICM differentiation model to incorporate both the blastocyst lumen (blastocoel) and the trophectoderm (TE) as adjacent compartments where the primary signaling protein (FGF4) for EPI-PRE differentiation can diffuse, degrade, or accumulate. This extended ICM model allows for a spatially resolved analysis of EPI-PRE lineage proportioning under the influence of luminally deposited FGF4 molecules. Our results reveal that the blastocoel acts as a localized signaling source, while the TE functions as an embryo-wide signaling sink, guiding cell-fate decisions within the ICM. A critical determinant of the ideal target system behavior is the initial amount of luminally deposited FGF4, which is required to recapitulate the correct spatio-temporal patterning of EPI and PRE (blastocyst) cell lineages. Notably, this requirement is independent of ICM population size and shape, highlighting the robustness of the FGF4 signaling process. Our study also underscores the potential of integrating single-cell gene expression and cell-cell communication dynamics simulations with tissue-level morphogenesis representations. By combining spatial-stochastic modeling with agent-based frameworks, we could enhance the exploration of the intricate interplay between gene regulation, signaling, and morphogenetic processes that govern early embryonic development.

📄 PDF Abstract BibTeX arXiv:2505.23650

Code (0)

등록된 구현이 없습니다.

Similar Papers 제목 키워드 기반

Image Segmentation of Zona-Ablated Human Blastocysts

2020-08-19 · Md Yousuf Harun, M. Arifur Rahman, Joshua Mellinger, Willy Chang 외

Automating human preimplantation embryo grading offers the potential for higher success rates with in vitro fertilization (IVF) by providing new quantitative and objective measures of embryo quality. Current IVF procedur…

Image SegmentationSemantic Segmentation

Multitasking Embedding for Embryo Blastocyst Grading Prediction (MEmEBG)

2026-04-14 · Nahid Khoshk Angabini, Mohsen Tajgardan, Mahesh Madhavan, Zahra Asghari Varzaneh 외 arxiv

Reliable evaluation of blastocyst quality is critical for the success of in vitro fertilization (IVF) treatments. Current embryo grading practices primarily rely on visual assessment of morphological features, which intr…

Blasto-Net: An Explainable Multi-Task Learning for Blastocyst Segmentation, Grading, and Implantation Prediction

2026-06-24 · Zahra Asghari Varzaneh, Reza Khoshkangini, Magnus Johnsson, Thomas Ebner 외 arxiv

This study introduces Blasto-Net, a multi-task deep learning model for comprehensive blastocyst analysis. The proposed model performs three tasks simultaneously in a single forward pass: segmentation of the ZP, TE, and I…

Multi-Task Learning

BlastDiffusion: A Latent Diffusion Model for Generating Synthetic Embryo Images to Address Data Scarcity in In Vitro Fertilization

2025-06-16 · Alejandro Golfe, Natalia P. García-de-la-puente, Adrián Colomer, Valery Naranjo

Accurately identifying oocytes that progress to the blastocyst stage is crucial in reproductive medicine, but the limited availability of annotated high-quality embryo images presents challenges for developing automated …

Data AugmentationDiagnosticSSIM

Generating Synthetic Human Blastocyst Images for In-Vitro Fertilization Blastocyst Grading

2025-11-22 · Pavan Narahari, Suraj Rajendran, Lorena Bori, Jonas E. Malmsten 외 arxiv

The success of in vitro fertilization (IVF) at many clinics relies on the accurate morphological assessment of day 5 blastocysts, a process that is often subjective and inconsistent. While artificial intelligence can hel…

Data AugmentationImage Generation