Publications by authors named "Michael Huttner"
Motivation: Bulk RNA expression data are widely accessible, whereas single-cell data are relatively scarce in comparison. However, single-cell data offer profound insights into the cellular composition of tissues and cell type-specific gene regulation, both of which remain hidden in bulk expression analysis.
Results: Here, we present tissueResolver, an algorithm designed to extract single-cell information from bulk data, enabling us to attribute expression changes to individual cell types.
Article Synopsis
- Diffuse large B-cell lymphoma (DLBCL) is a type of cancer that affects how long people might live, and some tests can help determine survival chances, but they are hard to do with certain patient samples.
- Researchers created a new test called LAMIS to look at special immune cell interactions in the cancer's environment, which was tested on 466 patients to see how it affects survival.
- They found that patients with a high LAMIS score had shorter times without disease worsening and lower overall survival rates, showing that understanding the cancer's surroundings is really important for treatment decisions.
Background: MicroRNAs (miRNAs) are short regulatory RNAs derived from longer precursor RNAs. miRNA biogenesis has been studied in animals and plants, recently elucidating more complex aspects, such as non-conserved, species-specific, and heterogeneous miRNA precursor populations. Small RNA sequencing data can help in computationally identifying genomic loci of miRNA precursors.
View Article and Find Full Text PDF