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Karami, A.

Publications and source records attributed to Karami, A..

3 recordsLinked to original sources

Neural codes for visual numerosity independent of other quantities are present both in the dorsal and in the ventral stream of the human brain

Visual numerosity, a feature of visual sets traditionally associated with the parietal cortex, has recently been suggested to be encoded in a broader range of cortical regions, including early visual and associative cortices of both streams. However, a clear picture of how numerosity information is represented alongside other non-numeric features across the cortex is still lacking. To address this, we conducted a whole-brain 3T fMRI study with thirty-one adult subjects (eighteen females) engaged in a numerosity estimation task involving visual sets varying in number, item size, total item area, total field area, and density, thus allowing us to perform a tight control of the stimulus properties. Using model-based semipartial correlation representational similarity analyses, we found that numerosity is represented independently of other visual properties already in early visual areas and amplified in both retinotopic and non-retinotopic associative areas along both the dorsal and ventral streams. Dimensionality reduction analyses of BOLD activity patterns revealed clearly distinct neural representational geometries of numerosity across brain regions: a one-dimensional representation of numerical rank in early visual and in associative retinotopic regions of the ventral stream, and a curved structure encoding rank-order together with distance to end-point in associative regions of both the dorsal and ventral stream. These findings indicate that numerosity is represented over and above other visual features broadly in the brain but with substantially different neural coding schemes across regions, and are discussed in light of two non necessarily exclusive interpretations.

neuroscience↗

Fragrance and color production by corona and perianth tissues of Iranian narcissus genotypes (Narcissus tazetta L.)

Flower color, shape and scent are the most attracting factors for consumers in the floriculture industry. The most fragrant Iranian narcissi (Narcissus tazetta L.) grown in natural habitats are Shahla, Meskinak, and Porpar genotypes. The present study was conducted to evaluate the color, scent, and also their interaction separately in corona and perianth of eleven Iranian narcissus accessions, for a better understanding of the bio-physiological differences in these tissues. For this purpose, the volatile organic compounds (VOCs) were analyzed using Headspace GCMS (gas chromatography/mass spectrometry); and total carotenoid, color values, and tissue thickness were measured in both perianth and corona tissues. Sensory analysis for corona and perianth was also conducted to evaluate scent perception. Besides, the expression of genes related to scent and color in corona and perianth was evaluated. Moreover, epidermal cells of perianth and corona were assessed by polarized light and SEM microscopy. The two most abundant compounds in both tissues were E-{beta}-ocimene and benzyl acetate, respectively; among which the first compound was higher in perianth, while the second one was higher in corona. Among identified VOCs, -terpineol, acetic acid, 2-phenylethyl ester, -pinene, {beta}-myrcene, and limonene were detected in corona of all genotypes of N. tazetta; however, these compounds were not identified in perianth of every genotypes. In corona, the negative correlations between the measured values of E-{beta}-ocimene and carotenoid and also, between the expression level of ocimene synthase and PSY (Phytoene synthase) with DXR (1-Deoxy-D-xylulose 5-phosphate reductoisomerase) suggested that there might be a competition between carotenoids and monoterpenes precursors in the MEP (methyl-D-erythritol phosphate) pathway. Volatile organic compound, color, scent emission, fresh weight and thickness of tissue were different in perianth and corona; while the surface coverage (with epidermal conical cells) were similar in these tissues. The findings of this research illustrated clearly for the first time that while both perianth and corona play important roles in scent production, corona has a more distinguished role in greater production of scent and color in Iranian narcissus flowers.

plant biology↗

Single cell transcriptomic analysis reveals cellular diversity of murine esophageal epithelium and age-associated mitochondrial dysfunction

Stratified squamous epithelium of the esophagus is comprised of basal keratinocytes that execute a terminal differentiation program in overlying suprabasal and superficial cell layers. Although morphologic progression coupled with expression of specific molecular markers has been characterized along the esophageal epithelial differentiation gradient, the molecular heterogeneity within the cell types along this trajectory has yet to be classified at the level of single cell resolution. To explore the molecular characteristics of esophageal keratinocytes along the squamous differentiation continuum, we performed single cell RNA-Sequencing transcriptomic profiling of 7,972 cells from murine esophageal epithelial sheets. We identified 8 distinct cell clusters in esophageal epithelium, unveiling an unexpected level of diversity, particularly among basal cells. We further mapped the cellular pathways and lineage trajectories within basal, suprabasal, and superficial clusters as well as within the heterogeneous basal cell populations, providing a comprehensive molecular view of esophageal epithelial cells in the context of squamous differentiation. Finally, we explored the impact of tissue aging upon esophageal epithelial cell clusters and demonstrated that mitochondrial dysfunction is a feature of aging in normal esophageal epithelium. These studies provide an unparalleled molecular perspective on murine esophageal keratinocytes that will serve as a valuable resource for dissecting cell type-specific roles in esophageal biology under conditions of homeostasis, aging, and tissue pathology.

molecular biology↗