bioRxiv Science⌕ Search

Biology subjects

Mandal, G.

Publications and source records attributed to Mandal, G..

2 recordsLinked to original sources

Social Isolation Alters Hippocampal miR-30e-5p Expression and Impairs Pattern Separation-Related Behaviour in Adult Mice

Social isolation is commonly used to model social stress and is a known risk factor for depression, with impacts on hippocampal function and postnatal neurogenesis. However, most studies focus on social isolation in juvenile mice isolation during adolescence, leaving the effects of prolonged adult isolation less understood. Post-transcriptional regulation of gene expression by microRNAs (miRNAs) plays a role in hippocampal function, and altered miRNA, as well as gene expression, has been reported in the hippocampus of mice exposed to social isolation. A single-nucleotide polymorphism in miR-30e in humans is associated with increased expression of the mature miRNA, impaired cognition, electroencephalogram waveform latency, depression, and schizophrenia. We investigated whether adult isolation in mice alters gene regulation via microRNAs, particularly miR-30e-5p, and affects hippocampal function. In adult BALB/c male mice, 10 weeks of isolation increased miR-30e-5p expression in the ventral hippocampus, reduced its target gene Neurod1, and impaired hippocampal-dependent cognition (object pattern separation), without clear anxiety- or depression-like behaviours. Isolated mice also showed a blunted response to acute stress. These findings suggest that adult social isolation affects hippocampal function through post-transcriptional gene regulation, highlighting a role for miR-30e-5p in neurogenesis and cognition in response to psychological stress.

neuroscience↗

VALIS: Virtual Alignment of pathoLogy Image Series

Spatial analyses can reveal important interactions between and among cells and their microenvironment. However, most existing staining methods are limited to a handful of markers per slice, thereby limiting the number of interactions that can be studied. This limitation is frequently overcome by registering multiple images to create a single composite image containing many markers. While there are several existing image registration methods for whole slide images (WSI), most have specific use cases. Here, we present the Virtual Alignment of pathoLogy Image Series (VALIS), a fully automated pipeline that opens, registers (rigid and/or non-rigid), and saves aligned slides in the ome.tiff format. VALIS has been tested with 273 immunohistochemistry (IHC) samples and 340 immunofluorescence (IF) samples, each of which contained between 2-69 images per sample. The registered WSI tend to have low error and are completed within a matter of minutes. In addition to registering slides, VALIS can also using the registration parameters to warp point data, such as cell centroids previously determined via cell segmentation and phenotyping. VALIS is written in Python and requires only few lines of code for execution. VALIS therefore provides a free, opensource, flexible, and simple pipeline for rigid and non-rigid registration of IF and/or IHC that can facilitate spatial analyses of WSI from novel and existing datasets.

cancer biology↗