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Publications

Some examples of publications of how VIB Technologies accelerates research.

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hydrop

Hydrop enables droplet-based single-cell ATAC-seq and single-cell RNA-seq using dissolvable hydrogel beads.

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The lab of Stein Aerts (VIB-KU Leuven Center for Brain and Disease) developed HyDrop, a flexible and open-source droplet microfluidic platform encompassing three protocols. HyDrop is currently capable of generating single-cell data in high throughput and at a reduced cost compared to commercial methods, and we envision that HyDrop can be further developed to be compatible with novel (multi) omics protocols.

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Slava Mylka

Comparative analysis of antibody- and lipid-based multiplexing methods for single-cell RNA-seq.

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Multiplexing of samples in single-cell RNA-seq studies allows a significant reduction of the experimental costs, straightforward identification of doublets, increased cell throughput, and reduction of sample-specific batch effects. Recently published multiplexing techniques using oligo-conjugated antibodies or -lipids allow barcoding sample-specific cells, a process called "hashing."

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man holding plant

An in situ sequencing approach maps PLASTOCHRON1 at the boundary between indeterminate and determinate cells.

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The plant shoot apex houses the shoot apical meristem, a highly organized and active stem-cell tissue where molecular signaling in discrete cells determines when and where leaves are initiated. We optimized a spatial transcriptomics approach, in situ sequencing, to colocalize the transcripts of 90 genes simultaneously on the same section of tissue from the maize (Zea mays) shoot apex.

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spatial

Spatial proteogenomics reveals distinct and evolutionarily conserved hepatic macrophage niches.

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The liver is the largest solid organ in the body, yet it remains incompletely characterized. Here we present a spatial proteogenomic atlas of the healthy and obese human and murine liver combining single-cell CITE-seq, single-nuclei sequencing, spatial transcriptomics, and spatial proteomics. By integrating these multi-omic datasets, we provide validated strategies to reliably discriminate and localize all hepatic cells, including a population of lipid-associated macrophages (LAMs) at the bile ducts.