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Molecular basis of positional memory in limb regeneration
L Otsuki1,2, S A Plattner3,4, Y Taniguchi-Sugiura3,4
1Institute of Molecular Biotechnology of the Austrian Academy of Sciences (IMBA), Vienna BioCenter (VBC), Vienna, Austria. leo.otsuki@imba.oeaw.ac.at.
Salamander limb regeneration relies on positional memory. Researchers discovered a Hand2-Shh feedback loop maintains posterior identity, which can be reprogrammed from anterior cells, aiding tissue engineering.
Area of Science:
- Developmental Biology
- Regenerative Medicine
- Molecular Biology
Background:
- Limb regeneration in salamanders involves distinct anterior and posterior cell identities.
- Positional memory, established during development, is thought to persist throughout life.
- The molecular basis and modifiability of positional memory remain largely unknown.
Purpose of the Study:
- To elucidate the molecular mechanisms underlying positional memory in axolotl limb regeneration.
- To investigate whether positional memory can be experimentally altered.
- To explore the implications of modifying positional memory for tissue engineering.
Main Methods:
- Identification of a positive-feedback loop involving Hand2 and Shh signalling in axolotl limb regeneration.
- Experimental manipulation of anterior cells using Shh exposure during regeneration.
- Analysis of gene expression and cell signalling post-manipulation.
Main Results:
- A positive-feedback loop between Hand2 transcription factor and Shh signalling maintains posterior cell identity.
- Residual Hand2 expression in posterior cells primes Shh centre formation post-amputation.
- Transient Shh exposure reprogrammed anterior cells to a posterior memory state, establishing a stable Hand2-Shh loop.
Conclusions:
- Positive-feedback mechanisms are crucial for the stability of positional memory during regeneration.
- Positional memory in regenerative cells can be reprogrammed, particularly from anterior to posterior identity.
- Modifying positional memory offers potential for advancing tissue engineering strategies.
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