The effect of replacing different regions of limb skin with head skin on regeneration in the axolotl

Peter Wigmore; Nigel Holder

doi:10.1242/dev.98.1.237

The effect of replacing different regions of limb skin with head skin on regeneration in the axolotl

Development ◽

10.1242/dev.98.1.237 ◽

1986 ◽

Vol 98 (1) ◽

pp. 237-249

Author(s):

Peter Wigmore ◽

Nigel Holder

Keyword(s):

Spatial Organization ◽

Normal Pattern ◽

Upper Arm ◽

Single Digit ◽

Anteroposterior Axis ◽

Skeletal Pattern ◽

Ventral Skin ◽

Ventral Muscle

Head skin was used to replace different halves of limb skin from the upper and lower arms of axolotls. Replacement of upper arm posterior skin caused the regeneration of a high proportion of single-digit limbs while replacement of dorsal, ventral or anterior skin caused only minor defects to the normal skeletal pattern. When dorsal or ventral skin was replaced, however, regenerates often lacked dorsal or ventral muscle. Results from the lower arm were different in that replacement of any half of limb skin failed to cause defects either in the skeletal or muscular pattern. These results are used in conjunction with previous work (Wigmore & Holder, 1985; Wigmore, 1986) to suggest that posterior skin is essential for regeneration of the anteroposterior axis and dorsal and ventral skin is necessary for the differentiation of the muscle pattern in regenerates from the upper arm. In the lower arm no localized region of skin appears to be essential for regeneration of the normal pattern and the patterning mechanism may have a different spatial organization.

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Regeneration from half lower arms in the axolotl

Development ◽

10.1242/dev.95.1.247 ◽

1986 ◽

Vol 95 (1) ◽

pp. 247-260

Author(s):

Peter Wigmore

Keyword(s):

Posterior Half ◽

Upper Arm ◽

Digit Number ◽

Single Digit ◽

Skeletal Structures ◽

Anterior Dorsal ◽

Anterior Half ◽

Ventral Muscle ◽

Posterior Anterior

A technique involving grafting of pieces of skin from the head onto the limb in order to isolate halves of the limb is described. This technique was used to isolate posterior, anterior, dorsal and ventral halves of the lower arm. All halves produced regenerates but no part of the limb was able to produce a high proportion of regenerates with a complete pattern of skeletal structures. Posterior half stumps regenerated limbs with a mean digit number of 2.7 and had a normal dorsoventral muscle pattern. Anterior half stumps produced a high proportion of single-digit regenerates and had a mean digit number of 1.3. Dorsal and ventral half stumps regenerated limbs with a mean digit number of 2.8 and 2.3 respectively. Hypomorphic regenerates from dorsal and ventral half stumps often had only dorsal or ventral muscle. These results are in contrast to those from the upper arm (Wigmore & Holder, 1985) where a complete skeletal and muscular pattern regenerated from posterior and dorsal halves and hypomorphic regenerates were obtained from anterior and ventral half limbs.

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Computational Micrograph Registration with Sieve Processes

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100164660 ◽

1996 ◽

Vol 54 ◽

pp. 440-441

Author(s):

P.J. Phillips ◽

J. Huang ◽

S. M. Dunn

Keyword(s):

Planar Graph ◽

Efficient Algorithm ◽

Spatial Organization ◽

Spatial Arrangement ◽

Stereo Image ◽

Image Model ◽

Geometric Invariants ◽

Point Set

In this paper we present an efficient algorithm for automatically finding the correspondence between pairs of stereo micrographs, the key step in forming a stereo image. The computation burden in this problem is solving for the optimal mapping and transformation between the two micrographs. In this paper, we present a sieve algorithm for efficiently estimating the transformation and correspondence.In a sieve algorithm, a sequence of stages gradually reduce the number of transformations and correspondences that need to be examined, i.e., the analogy of sieving through the set of mappings with gradually finer meshes until the answer is found. The set of sieves is derived from an image model, here a planar graph that encodes the spatial organization of the features. In the sieve algorithm, the graph represents the spatial arrangement of objects in the image. The algorithm for finding the correspondence restricts its attention to the graph, with the correspondence being found by a combination of graph matchings, point set matching and geometric invariants.

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Caveolin-1, galectin-3 and lipid raft domains in cancer cell signalling

Essays in Biochemistry ◽

10.1042/bse0570189 ◽

2015 ◽

Vol 57 ◽

pp. 189-201 ◽

Cited By ~ 13

Author(s):

Jay Shankar ◽

Cecile Boscher ◽

Ivan R. Nabi

Keyword(s):

Plasma Membrane ◽

Lipid Rafts ◽

Cancer Cell ◽

Cellular Response ◽

Spatial Organization ◽

Essential Feature ◽

Cell Signalling ◽

Coated Pits ◽

Signalling Molecules ◽

Raft Domains

Spatial organization of the plasma membrane is an essential feature of the cellular response to external stimuli. Receptor organization at the cell surface mediates transmission of extracellular stimuli to intracellular signalling molecules and effectors that impact various cellular processes including cell differentiation, metabolism, growth, migration and apoptosis. Membrane domains include morphologically distinct plasma membrane invaginations such as clathrin-coated pits and caveolae, but also less well-defined domains such as lipid rafts and the galectin lattice. In the present chapter, we will discuss interaction between caveolae, lipid rafts and the galectin lattice in the control of cancer cell signalling.

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