Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

In many developing and regenerating systems, tissue pattern is established through gradients of informative morphogens, but we know little about how cells interpret these. Using experimental manipulation of early chick embryos, including misexpression of an inducer (VG1 or ACTIVIN) and an inhibitor (BMP4), we test two alternative models for their ability to explain how the site of primitive streak formation is positioned relative to the rest of the embryo. In one model, cells read morphogen concentrations cell-autonomously. In the other, cells sense changes in morphogen status relative to their neighbourhood. We find that only the latter model can account for the experimental results, including some counter-intuitive predictions. This mechanism (which we name the 'neighbourhood watch' model) illuminates the classic 'French Flag Problem' and how positional information is interpreted by a sheet of cells in a large developing system.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9188750PMC
http://dx.doi.org/10.1242/dev.200295DOI Listing

Publication Analysis

Top Keywords

'neighbourhood watch'
8
watch' model
8
cells
5
model
4
model embryonic
4
embryonic epiblast
4
epiblast cells
4
cells assess
4
assess positional
4
positional relation
4

Similar Publications

Background: With the continuous evolution of technology, wearable accelerometers have become one of the most popular means of measuring daily physical activity (PA) levels. Despite the conventional use of the nondominant wrist as a device placement in numerous PA studies, the impact of wrist-worn accelerometer placement on PA data outcomes remains uncertain.

Objective: This study aimed to examine the degree of agreement between accelerometry data collected from CentrePoint Insight Watches (CPIWs; ActiGraph) worn on the dominant and nondominant wrists of young adults in free-living conditions.

View Article and Find Full Text PDF

Neighborhood adversity links to mental health and cognitive outcomes, but little is known about structural factors that may buffer these links. The current study addresses this gap by assessing the role of protective factors in the association of neighborhood deprivation, threat, and segregation with psychopathology symptoms and cognitive outcomes. Linear mixed models were run in ABCD sample participants (n = 5812) to test associations of neighborhood Area Deprivation Index (ADI; deprivation), crime (threat), and dissimilarity and interaction index (segregation) with attention difficulties, internalizing and externalizing symptoms, psychotic-like experiences (PLEs), and fluid and crystallized cognitive performance.

View Article and Find Full Text PDF

Background: To construct and visualize network associations between different kinds of leisure activities and Instrumental Activities of Daily Living (IADL) levels of widowed older adults, and compare the difference in widowed elderly with different demographics.

Methods: This was a national cross-sectional study derived from CLHLS in 2018, consisting of 8594 widowed older adults. Network analysis was used to explore the relationship between different types of leisure activities and IADL.

View Article and Find Full Text PDF

Introduction: Nature exerts a significant impact on spiritual experiences. While extended interactions with nature ranging from living in nature-rich neighborhoods to hiking through mountains for some time, have been found to promote spirituality and religiosity among individuals less is known about how its dual aspects (beautiful vs. threatening) and trait (dispositional) spirituality interact to shape these effects.

View Article and Find Full Text PDF

Introduction: Physical activity (PA) is crucial for older adults' well-being and mitigating health risks. Encouraging active lifestyles requires a deeper understanding of the factors influencing PA, which conventional approaches often overlook by assuming stability in these determinants over time. However, individual-level determinants fluctuate over time in real-world settings.

View Article and Find Full Text PDF