Alina Isakova

This study identifies HexBMP(22:6_22:6) as a novel biomarker for mutant GBA1 using lysosomal profiling in mice and human samples.

The paper uses Perturb-seq in mice to identify genes that promote collateral artery formation by comparing gene expression between guinea pigs and mice.

CellVoyager autonomously analyzes scRNA-seq data to generate new hypotheses and findings, outperforming existing models and producing scientifically interesting results.

Connectome-seq maps neuronal connectivity at single-synapse resolution using barcoding and sequencing, revealing molecular markers in connected neurons.

The paper uses plasma proteomics to estimate biological age of multiple cell types and links aging signatures to disease risk and mortality across 60,000 individuals.

The paper creates a cell-type-specific lysosome protein atlas in the brain, identifies SLC45A1 as a neuron-specific lysosomal protein, and shows its role in lysosomal function and neurodegeneration.

This study creates a multi-modal atlas of choroid plexus pathology across aging and Alzheimer's disease, identifying fibrosis, calcification, and macrophage abnormalities as key features.

The paper investigates age-related changes in cerebellar microglia using single-nuclei RNA sequencing and MERFISH, finding enhanced neuroprotective immune activation and proximity to granule cells in aged mice.

This paper introduces a method to capture non-coding RNAs in single-cell RNA-seq, revealing new insights into gene regulation in immune cells, infected hepatocytes, and brain development.

The paper integrates multi-omic data to identify genetic and microbiome factors associated with severe COVID-19, independent of ancestry and social factors.

The paper uses single-cell RNA sequencing to map gene expression changes in the human endometrium across the menstrual cycle, identifying distinct cell types and their transcriptional signatures.

This paper introduces Smart-seq-total, a single-cell RNA-seq method that captures both poly(A)+ and poly(A)- transcripts, enabling comprehensive analysis of the RNAome and revealing new roles of non-coding RNA in cellular processes.

miRSwitch detects microRNA arm shifts and switches using sncRNA-seq data, providing analysis tools and a reference map of arm shift frequencies across tissues and species.

The paper creates a comprehensive mouse tissue atlas of small non-coding RNAs, revealing tissue-specific and sex-specific expression patterns and linking ncRNAs to cell types in the brain.

The paper characterizes serotonin neuron subtypes in the dorsal and medial raphe nuclei using single-cell RNA sequencing and maps their axonal projections to understand their functional diversity.