Identification of hair cycle-associated genes from time-course gene expression profile using fractal analysis

Mathur, Sunil; Doke, Atul M.; Sadana, Ajit

doi:10.1504/ijbra.2006.010603

Cited by 4 publications

(2 citation statements)

References 10 publications

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“…During the following cycles, synchronous HF growth occurs only in relatively small patches , thus demonstrating a spatially restricted correlation radius. This phenomenological observation was supported by time‐course experiments looking at gene expression profile data . Such specific spatiotemporal HF behaviour leads to production of a mosaic skin pattern with HFs belonging to a single patch being quasi‐synchronized in the same phase of the cycle.…”

Section: Introductionmentioning

confidence: 67%

Dermal adipocytes and hair cycling: is spatial heterogeneity a characteristic feature of the dermal adipose tissue depot?

Kruglikov¹,

Scherer

2016

Experimental Dermatology

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Adipocytes are widely distributed in the dermis, in a unique fat depot referred to as dermal white adipose tissue (dWAT). In rodents, dWAT is present as widespread thin layers, whereas in pigs and humans it is present in clusters referred to as “dermal cones” around the pilosebaceous units. This distinct layer of fat cells located above the subcutaneous white adipose tissue is important for proper hair follicle (HF) cycling in rodents. Murine HFs produce spatially restricted synchronous patches after their second postnatal cycle which correlates with a spatial heterogeneity of murine dWAT. Similarly, the cycling of HFs in humans may also be related to the spatial distribution of dWAT, making the difference between murine and human HF cycling of more quantitative than of qualitative nature. This should allow the production of small spatially correlated HF patches in human skin and we propose that this process can be regulated by paracrine signaling and involving a number of signaling modules, including the hedgehog pathway. This pathway is an established player in HF cycling, but is also involved in the regulation of adipogenesis and may therefore be a key regulator of the process across species. We also suggest that the spatial heterogeneity of dWAT is connected not only to HF cycling, but may also be related to other physiological and pathological processes in the skin.

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Section: Introductionmentioning

confidence: 67%

Dermal adipocytes and hair cycling: is spatial heterogeneity a characteristic feature of the dermal adipose tissue depot?

Kruglikov¹,

Scherer

2016

Experimental Dermatology

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“…Vélez et al reported the possible use of multifractals in the measurement of local variations in DNA sequence in order to define the structure-function relationship in chromosomes [41], and Mathur et al used fractal analysis of gene expression in studying the hair growth cycle. Moreover [42], fractal genomics modeling has been used to predict new factors in signaling pathways and the networks operating in neurodegenerative disorders [43]. At the cellular level, fractal dimension was used in evaluating the morphological diversity of neurons and discriminating them on the basis of the neuronal extensions [44]; fractals can also explain higher orders of organization in biological materials such as the organization of tissues [45] and branching of tubular systems such as the respiratory and the vascular systems [46-49].…”

Section: Methodsmentioning

confidence: 99%

Self-organization of developing embryo using scale-invariant approach

Tiraihi

2011

Theor Biol Med Model

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BackgroundSelf-organization is a fundamental feature of living organisms at all hierarchical levels from molecule to organ. It has also been documented in developing embryos.MethodsIn this study, a scale-invariant power law (SIPL) method has been used to study self-organization in developing embryos. The SIPL coefficient was calculated using a centro-axial skew symmetrical matrix (CSSM) generated by entering the components of the Cartesian coordinates; for each component, one CSSM was generated. A basic square matrix (BSM) was constructed and the determinant was calculated in order to estimate the SIPL coefficient. This was applied to developing C. elegans during early stages of embryogenesis. The power law property of the method was evaluated using the straight line and Koch curve and the results were consistent with fractal dimensions (fd). Diffusion-limited aggregation (DLA) was used to validate the SIPL method.Results and conclusionThe fractal dimensions of both the straight line and Koch curve showed consistency with the SIPL coefficients, which indicated the power law behavior of the SIPL method. The results showed that the ABp sublineage had a higher SIPL coefficient than EMS, indicating that ABp is more organized than EMS. The fd determined using DLA was higher in ABp than in EMS and its value was consistent with type 1 cluster formation, while that in EMS was consistent with type 2.

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A run‐based procedure to identify time‐lagged gene clusters in microarray experiments

Mathur

2008

Statistics in Medicine

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We applied the proposed procedure on the Spellman data set (Mol. Biol. Cell 1998; 9(12): 3273-3297) and compared our procedure with some of the other existing procedures. We found that our procedure is more computationally efficient than Ji and Tan (Bioinformatics 2005; 21:509-516), event method and edge detection procedures. The proposed procedure also provides more details about the clusters than Ji and Tan (Bioinformatics 2005; 21:509-516), event method and edge detection procedures. The proposed procedure is really simple to apply as compared with other available procedures in the literature including Ji and Tan (Bioinformatics 2005; 21:509-516), event method and edge detection procedures.

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Identification of hair cycle-associated genes from time-course gene expression profile using fractal analysis

Cited by 4 publications

References 10 publications

Dermal adipocytes and hair cycling: is spatial heterogeneity a characteristic feature of the dermal adipose tissue depot?

Dermal adipocytes and hair cycling: is spatial heterogeneity a characteristic feature of the dermal adipose tissue depot?

Self-organization of developing embryo using scale-invariant approach

A run‐based procedure to identify time‐lagged gene clusters in microarray experiments

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