Publications by authors named "Shilpa Dilipkumar"

Article Synopsis
  • CMA and endosomal microautophagy (eMI) are processes for selectively degrading specific cytosolic proteins in lysosomes and late endosomes, recognizing a key five-amino-acid motif with the help of the Hsc70 chaperone.
  • This study reveals a compensatory relationship between CMA and eMI, highlighting the role of the chaperone Bag6 in managing the entry of eMI substrates into late endosomes.
  • Starvation alters the behavior of Bag6 at late endosome membranes, leading to a decline in eMI activity, and the findings suggest a coordinated interaction between CMA and eMI, and a shared subproteome that both pathways target for degradation.
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Mitochondria and peroxisomes are metabolically interconnected and functionally active subcellular organelles. These two dynamic organelles, share a number of common biochemical functions such as β-oxidation of fatty acids and detoxification of peroxides. The biogenesis and morphology of both these organelles in the mammalian cells is controlled by common transcription factors like PGC1α, and by a common fission machinery comprising of fission proteins like DRP1, Mff, and hFis1, respectively.

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Identifying key cellular events that facilitate stem cell function and tissue organization is crucial for understanding the process of regeneration. Planarians are powerful model system to study regeneration and stem cell (neoblast) function. Here, using planaria, we show that the initial events of regeneration, such as epithelialization and epidermal organization are critically regulated by a novel cytoplasmic poly A-binding protein, SMED-PABPC2.

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We demonstrate a new technique to generate multiple light-sheets for fluorescence microscopy. This is possible by illuminating the cylindrical lens using multiple copies of Gaussian beams. A diffraction grating placed just before the cylindrical lens splits the incident Gaussian beam into multiple beams traveling at different angles.

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We propose an iterative data reconstruction technique specifically designed for multi-dimensional multi-color fluorescence imaging. Markov random field is employed (for modeling the multi-color image field) in conjunction with the classical maximum likelihood method. It is noted that, ill-posed nature of the inverse problem associated with multi-color fluorescence imaging forces iterative data reconstruction.

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Three-dimensional (3D) resolution improvement in multi-photon multiple-excitation-spot-optical microscopy is proposed. Specially designed spatial filter is employed for improving the overall 3D resolution of the imaging system. An improvement up to a factor of 14.

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