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Khiste, S.

Publications and source records attributed to Khiste, S..

3 recordsLinked to original sources

A multi-omics characterization reveals distinct molecular signatures in the human motor cortex and lumbar spinal cord in ALS

Amyotrophic lateral sclerosis (ALS) is a debilitating neurodegenerative disease characterized by the loss of upper motor neurons in the motor cortex (MTC) and lower motor neurons in the spinal cord, leading to muscle atrophy and ultimately respiratory failure. While motor neurons (MNs) are the selectively vulnerable cell type, their interactions with glia contribute to the progression of ALS pathology. However, it remains unclear whether the site of ALS symptom onset influences the molecular alterations underlying MN and glial dysfunction and whether these alterations are shared between the MTC and lumbar spinal cord (LSC). To address these questions, we constructed spatially-resolved gene expression maps of the MTC and LSC by combining spatial and single-nucleus transcriptomic profiles from a cohort of non-neurological controls and ALS donors clinically stratified by site of symptom onset. In the ventral horn of the LSC, we see a decrease in genes associated with MNs and synaptic signaling in ALS donors. We also identify region-specific alterations in endothelial- and glial-related functions. Notably, the severity of these MN deficits and endothelial-related functions is influenced by the site of symptom onset, whereas alterations in glial function largely are not. In contrast to the LSC, we observe layer-specific increases in synaptic signaling in the MTC of ALS donors. Comparing the molecular and cellular changes within the LSC and MTC in ALS indicates that they are predominantly non-overlapping, and have different molecular signatures.

genomics↗

Uncovering the Signatures of Cellular Senescence in the Human Dorsolateral Prefrontal Cortex

Identifying senescent cells poses challenges due to their rarity, heterogeneity, and lack of a definitive marker. We performed Visium spatial transcriptomics (ST) and single nucleus RNA sequencing (snRNA-seq) on non-pathological human tissue to build a transcriptomic atlas of aging and senescence in the dorsolateral prefrontal cortex (dlPFC). We identified markers characteristic of aging dlPFC cortical layers and cell types. We also observed an increase in astrocyte abundance and decrease in somatostatin expressing inhibitory neurons. Overall, the senescence profile in the dlPFC was highly heterogeneous and heavily influenced by cell type identity and cortical layer. Combined unbiased analysis of ST and snRNA-seq datasets revealed gene expression modules encoding for communities of microglia and endothelial cells in the white matter and regional astrocytes programs that were strongly enriched with age and for senescence-related genes. These findings will help facilitate future studies exploring the function of senescent cell subpopulations in the aging brain.

cell biology↗

Pygmaeomycetaceae, a new root associated family in Mucoromycotina from the pygmy pine plains

A new genus, Pygmaeomyces, and two new species are described based on phylogenetic analyses, phenotypic and ecological characters. The species delimitation was based on concordance of gene genealogies. The Pygmaeomyces cultures were isolated from the roots of mountain laurel (Kalmia latifolia) and pitch pine (Pinus rigida) from the acidic and oligotrophic New Jersey Pygmy Pine Plains; however, they likely have a broader distribution because their internal transcribed spacer (ITS) sequences have high similarity with a number of environmental sequences from multiple independent studies. Based on the phylogeny and phenotypical characters, a new family Pygmaeomycetaceae is proposed to accommodate this new lineage in Mucoromycotina. Pygmaeomycetaceae corresponds to Clade GS23, which was identified based on a sequence-only soil fungal survey and was believed to be a distinct new class. Compared to the culture-based methods, we observed that sequence-only analyses tend to over-estimate the taxonomic level. Results from this work will facilitate ecological and evolutionary studies on root-associated fungi.

microbiology↗