Learning developmental mode dynamics from single-cell trajectories

Embryogenesis is a multiscale process during which developmental symmetry breaking transitions give rise to complex multicellular organisms. Recent advances in high-resolution live-cell microscopy provide unprecedented insights into the collective cell dynamics at various stages of embryonic development. This rapid experimental progress poses the theoretical challenge of translating high-dimensional imaging data into predictive low-dimensional models that capture the essential ordering principles governing developmental cell migration in complex geometries. Here, we combine mode decomposition ideas that have proved successful in condensed matter physics and turbulence theory with recent advances in sparse dynamical systems inference to realize a computational framework for learning quantitative continuum models from single-cell imaging data. Considering pan-embryo cell migration during early gastrulation in zebrafish as a widely studied example, we show how cell trajectory data on a curved surface can be coarse-grained and compressed with suitable harmonic basis functions. The resulting low-dimensional representation of the collective cell dynamics enables a compact characterization of developmental symmetry breaking and the direct inference of an interpretable hydrodynamic model, which reveals similarities between pan-embryo cell migration and active Brownian particle dynamics on curved surfaces. Due to its generic conceptual foundation, we expect that mode-based model learning can help advance the quantitative biophysical understanding of a wide range of developmental structure formation processes.

Cell-specific alterations in Pitx1 regulatory landscape activation caused by the loss of a single enhancer

Developmental genes are frequently controlled by multiple enhancers sharing similar specificities. As a result, deletions of such regulatory elements have often failed to reveal their full function. Here, we use the Pitx1 testbed locus to characterize in detail the regulatory and cellular identity alterations following the deletion of one of its enhancers (Pen). By combining single cell transcriptomics and an in-embryo cell tracing approach, we observe an increased fraction of Pitx1 non/low-expressing cells and a decreased fraction of Pitx1 high-expressing cells. We find that the over-representation of Pitx1 non/low-expressing cells originates from a failure of the Pitx1 locus to coordinate enhancer activities and 3D chromatin changes. This locus mis-activation induces a localized heterochrony and a concurrent loss of irregular connective tissue, eventually leading to a clubfoot phenotype. This data suggests that, in some cases, redundant enhancers may be used to locally enforce a robust activation of their host regulatory landscapes.

Automated Reconstruction of Whole-Embryo Cell Lineages by Learning from Sparse Annotations

We present a method for automated nucleus identification and tracking in time-lapse microscopy recordings of entire developing embryos. Our method combines deep learning and global optimization to enable complete lineage reconstruction from sparse point annotations, and uses parallelization to process multi-terabyte light-sheet recordings, which we demonstrate on three common model organisms: mouse, zebrafish, Drosophila. On the most difficult dataset (mouse), our method correctly reconstructs 75.8% of cell lineages spanning 1 hour, compared to 31.8% for the previous state of the art, thus enabling biologists to determine where and when cell fate decisions are made in developing embryos, tissues, and organs.

MANAGEMENT OF VACCINE-INDUCED INFECTIONS BURSAL DISEASE IN CHICKS WITH ANTIBIOTICS AN ANTIDIARROEICS

An experiment was mounted to investigate if over dosing the chicks with normal infectious bursal disease (IBD) vaccine could be responsible for some of these outbreaks of IBD in vaccinated flocks. The clinical IBD was managed with antibiotics and antidiarrhoeics in order to reduce losses. Three hundred two-week old turkey poults were each administered two doses of IBD vaccine of chick embryo cell culture origin. This produced clinical infectious bursal disease in the cockerel chicks but the turkey Poults did not suffer clinical infection. Administration of an antibiotic- antidiarrhoeic preparation (Ampicilline trihydrate 10% Aluminium hydroxide 80% and sodium bicarbonate 10%) at a dose of 2g per litre of water for five days reduced both morbidity and mortality from 60% and 94% (in the control groups) to 14% and 15% respectively in the Experimental groups.

Environmental impacts on sperm and oocyte epigenetics affect embryo cell epigenetics and transcription to promote the epigenetic inheritance of pathology and phenotypic variation

Previous studies have demonstrated that exposure to environmental factors can cause epigenetic modifications to germ cells, particularly sperm, to promote epigenetic and transcriptome changes in the embryo. These germ cell and embryo cell epigenetic alterations are associated with phenotypic changes in offspring. Epigenetic inheritance requires epigenetic changes (i.e. epimutations) in germ cells that promote epigenetic and gene expression changes in embryos. The objective of this perspective is to examine the evidence that germ cell epigenome modifications are associated with embryo cell epigenetic and transcriptome changes that affect the subsequent development of all developing somatic cells to promote phenotype change. Various epigenetic changes in sperm, including changes to histone methylation, histone retention, non-coding RNA expression and DNA methylation, have been associated with alterations in embryo cell epigenetics and gene expression. Few studies have investigated this link for oocytes. The studies reviewed herein support the idea that environmentally induced epigenetic changes in germ cells affect alterations in embryo cell epigenetics and transcriptomes that have an important role in the epigenetic inheritance of pathology and phenotypic change.