Category Ranking

98%

Total Visits

921

Avg Visit Duration

2 minutes

Citations

20

Article Abstract

In Arabidopsis, lateral root primordia (LRPs) originate from pericycle cells located deep within the parental root and have to emerge through endodermal, cortical, and epidermal tissues. These overlaying tissues place biomechanical constraints on the LRPs that are likely to impact their morphogenesis. This study probes the interplay between the patterns of cell division, organ shape, and overlaying tissues on LRP morphogenesis by exploiting recent advances in live plant cell imaging and image analysis. Our 3D/4D image analysis revealed that early stage LRPs exhibit tangential divisions that create a ring of cells corralling a population of rapidly dividing cells at its center. The patterns of division in the latter population of cells during LRP morphogenesis are not stereotypical. In contrast, statistical analysis demonstrated that the shape of new LRPs is highly conserved. We tested the relative importance of cell division pattern versus overlaying tissues on LRP morphogenesis using mutant and transgenic approaches. The double mutant aurora1 (aur1) aur2 disrupts the pattern of LRP cell divisions and impacts its growth dynamics, yet the new organ's dome shape remains normal. In contrast, manipulating the properties of overlaying tissues disrupted LRP morphogenesis. We conclude that the interaction with overlaying tissues, rather than the precise pattern of divisions, is most important for LRP morphogenesis and optimizes the process of lateral root emergence.

Download full-text PDF

Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3612681PMC
http://dx.doi.org/10.1073/pnas.1210807110DOI Listing

Publication Analysis

Top Keywords

overlaying tissues
24
lrp morphogenesis
20
lateral root
12
properties overlaying
8
cell division
8
tissues lrp
8
image analysis
8
morphogenesis
7
tissues
7
overlaying
6

Similar Publications

Diffuse large B-cell lymphoma is the most common type of non-Hodgkin lymphoma (NHL) in humans, accounting for about 30-40% of NHL cases worldwide. Canine diffuse large B-cell lymphoma (cDLBCL) is the most common lymphoma subtype in dogs and demonstrates an aggressive biologic behaviour. For tissue biopsies, current confirmatory diagnostic approaches for enlarged lymph nodes rely on expert histopathological assessment, which is time-consuming and requires specialist expertise.

View Article and Find Full Text PDF

Background/aim: With an increasing number of comorbid diseases, the number of drug intake by elderly people and their chances to X-ray exposure inevitably increase. However, it is unclear how these treatments affect longevity. Primary human diploid fibroblasts with limited life span have been used as a model system for the study of cellular senescence.

View Article and Find Full Text PDF

: In vivo data on healed coronary plaques (HCPs), the hallmark of previous plaque disruption, remains scarce. The study aimed to use optical coherence tomography (OCT) imaging to assess the prevalence, morphological features, and clinical significance of culprit HCPs in patients with acute coronary syndrome (ACS). : A total of 87 ACS patients (74.

View Article and Find Full Text PDF

Intervertebral disc degeneration is a leading cause of back and leg pain and a major contributor to disability worldwide. Despite its prevalence, treatments remain limited due to incomplete understanding of its pathology. In vivo models pose challenges for controlled conditions, while in vitro cell cultures lack key cell-cell and cell-matrix interactions.

View Article and Find Full Text PDF

Multiplex immunostaining analysis remains fragmented, underperforming and labour intensive despite tissue proteomic methodologies achieving ever-increasing marker complexity. Here we propose an open-source, user-guided automated pipeline that streamlines start-to-finish, single-cell resolution analysis of whole-slide tissue, named multiplex-imaging analysis, registration, quantification and overlaying (MARQO). MARQO integrates elastic image registration, iterative nuclear segmentation, unsupervised clustering with mini-batch k-means and user-guided cell classification through a graphical interface.

View Article and Find Full Text PDF