Epidermal cell migration during wound healing in Dugesia lugubris

Pascolini, Rita; S, Tei; Vagnetti, Daniela; Bondi, C

doi:10.1007/bf00214237

Cited by 13 publications

(10 citation statements)

References 20 publications

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“…However, migration of planarian epithelial cells to the wound site is known to be an essential component for wound closure [56], as is the juxtaposition of dorsal and ventral tissues [57]. Wound closure is followed by an initial body-wide peak of cell division (mitosis) from the neoblasts within 6 h after injury; if tissue was lost, this is accompanied by the migration of neoblasts towards the wound by 18 h and a second, local mitotic peak at the injury site around 48–72 h after injury to promote the formation of the blastema [53].…”

Section: The Building Blocks For Modeling Planariamentioning

confidence: 99%

Modeling Planarian Regeneration: A Primer for Reverse-Engineering the Worm

Lobo¹,

Beane²,

Levin

2012

PLoS Comput Biol

106

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A mechanistic understanding of robust self-assembly and repair capabilities of complex systems would have enormous implications for basic evolutionary developmental biology as well as for transformative applications in regenerative biomedicine and the engineering of highly fault-tolerant cybernetic systems. Molecular biologists are working to identify the pathways underlying the remarkable regenerative abilities of model species that perfectly regenerate limbs, brains, and other complex body parts. However, a profound disconnect remains between the deluge of high-resolution genetic and protein data on pathways required for regeneration, and the desired spatial, algorithmic models that show how self-monitoring and growth control arise from the synthesis of cellular activities. This barrier to progress in the understanding of morphogenetic controls may be breached by powerful techniques from the computational sciences—using non-traditional modeling approaches to reverse-engineer systems such as planaria: flatworms with a complex bodyplan and nervous system that are able to regenerate any body part after traumatic injury. Currently, the involvement of experts from outside of molecular genetics is hampered by the specialist literature of molecular developmental biology: impactful collaborations across such different fields require that review literature be available that presents the key functional capabilities of important biological model systems while abstracting away from the often irrelevant and confusing details of specific genes and proteins. To facilitate modeling efforts by computer scientists, physicists, engineers, and mathematicians, we present a different kind of review of planarian regeneration. Focusing on the main patterning properties of this system, we review what is known about the signal exchanges that occur during regenerative repair in planaria and the cellular mechanisms that are thought to underlie them. By establishing an engineering-like style for reviews of the molecular developmental biology of biomedically important model systems, significant fresh insights and quantitative computational models will be developed by new collaborations between biology and the information sciences.

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Section: The Building Blocks For Modeling Planariamentioning

confidence: 99%

Modeling Planarian Regeneration: A Primer for Reverse-Engineering the Worm

Lobo¹,

Beane²,

Levin

2012

PLoS Comput Biol

106

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“…When a planarian is injured, a strong muscular contraction occurs immediately to minimize the wound area, which rapidly develops a thin layer of epithelium383940. Lobo et al explained that the cycle of planarian tissue regeneration can be divided into 3 stages: (1) closure of the wound within the first 30 to 45 min; (2) formation of a mass of new cells (blasteme) at the injury site, which is visible within 2 to 3 days; and (3) repatterning of the old and new tissues during the subsequent 1 to 2 weeks41.…”

Section: Discussionmentioning

confidence: 99%

Optical coherence tomography: A new strategy to image planarian regeneration

Lin

Chu

Lin

et al. 2014

Sci Rep

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The planarian is widely used as a model for studying tissue regeneration. In this study, we used optical coherence tomography (OCT) for the real-time, high-resolution imaging of planarian tissue regeneration. Five planaria were sliced transversely to produce 5 head and 5 tail fragments. During a 2-week regeneration period, OCT images of the planaria were acquired to analyze the signal attenuation rates, intensity ratios, and image texture features (including contrast, correlation, homogeneity, energy, and entropy) to compare the primitive and regenerated tissues. In the head and tail fragments, the signal attenuation rates of the regenerated fragments decreased from −0.2 dB/μm to −0.05 dB/μm, between Day 1 and Day 6, and then increased to −0.2 dB/μm on Day 14. The intensity ratios decreased to approximately 0.8 on Day 6, and increased to between 0.8 and 0.9 on Day 14. The texture parameters of contrast, correlation, and homogeneity exhibited trends similar to the signal attenuation rates and intensity ratios during the planarian regeneration. The proposed OCT parameters might provide biological information regarding cell apoptosis and the formation of a mass of new cells during planarian regeneration. Therefore, OCT imaging is a potentially effective method for planarian studies.

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“…Using a monoclonal antibody which reacts with all vertebrate actin isoforms, we demonstrated the presence in planarians of a 42 kDa actin-like molecule that was localized in differentiated muscle cells and in migrating cells like the phagocytic- [30] and blastema-forming cells [31]. It has been hypothesized that various actin isoforms are present and are differentially expressed in planarians [31], although direct evidence of this phenomenon has not been reported.…”

Section: Introductionmentioning

confidence: 93%