Cecilia Lindskog

The paper identifies ANKRD55 interacting with an IFT-B-like complex in microglia, suggesting a role in ciliary transport independent of ciliogenesis.

The paper uses single-cell spatial proteomics to show that metabolic enzyme expression and localization vary between cells, revealing autonomous metabolic heterogeneity.

This paper creates an integrated multimodal atlas of the female reproductive system across the lifespan, identifying cell types and linking them to gynaecological pathologies.

The paper uses multimodal single-cell profiling to show how puberty and chemotherapy affect pediatric ovarian tissue, identifying vulnerabilities and a potential biomarker.

The paper constructs a cell type-resolved proteomic atlas of the human body using Deep Visual Proteomics, revealing protein abundance patterns and uncovering cancer-testis antigens in oocytes.

The paper creates a high-resolution spatial map of cilia-associated proteins in the human fallopian tube using integrated transcriptomics and proteomics.

The paper examines the epithelial architecture and spatial distribution of T and B lymphocytes in different regions of the human fallopian tube across the menstrual cycle.

This paper maps the expression of whirlin across human tissues and cell types using multi-omics data, revealing its broad distribution and cell-type-specific patterns.

This study creates a single-nuclei transcriptomic atlas of skeletal muscle in women with PCOS, identifying cell-type-specific dysregulation and therapeutic targets.

The paper develops a high-throughput workflow to map protein expression and subcellular localization in motile ciliated cells across five human tissues, identifying 180 proteins with varying functional evidence scores.

The paper uses spatial proteomics to analyze primary cilia proteomes across cell lines, revealing cell-type specificity and single-cilia heterogeneity, and identifies novel cilia proteins and potential genetic variants.

This paper introduces RIBCA, a tool for automated cell type annotation in multiplexed tissue images, capable of annotating over 3 million cells across 40 human tissues without manual intervention.

This paper develops a framework integrating scRNA-seq with mIHC to create a high-resolution proteomic atlas of human spermatogenesis, revealing discrepancies between mRNA and protein expression.

The paper investigates how PTEN and ARID1A haploinsufficiency in colonic epithelium contributes to oncogenic transformation by altering clone dynamics and creating a pro-tumorigenic microenvironment.

This study constructs a human stomach cell type transcriptome atlas using RNA-seq data from 359 individuals, identifying over 1600 cell type-enriched genes and male-specific chief cell genes linked to gastric cancer.

The paper describes a machine learning competition to develop automated image segmentation tools for anatomical structures across human organs, resulting in models that will be used in the Human Reference Atlas.

The paper generates a tissue-specific cell type enrichment atlas using bulk RNAseq data from 15 human organs, identifying lowly expressed genes and shared gene signatures across cell types.

The paper annotates all human protein-coding genes with their function and spatial distribution across cell types using single-cell transcriptomics data and introduces a new classification tool.

This study maps the temporal and spatial dynamics of the human endometrium using single-cell and spatial reference maps, identifying key signaling pathways regulating cell fate in vivo and in vitro.

The paper maps and characterizes the human secretome by annotating 2,623 predicted secreted proteins and their spatial distribution, using a high-throughput cell factory for recombinant protein production and analysis.