bioRxiv Science⌕ Search

Biology subjects

Veling, M. T.

Publications and source records attributed to Veling, M. T..

2 recordsLinked to original sources

Natural and designed proteins inspired by extremotolerant organisms can form condensates and attenuate apoptosis in human cells

Many organisms can survive extreme conditions and successfully recover to normal life. This extremotolerant behavior has been attributed in part to repetitive, amphipathic, and intrinsically disordered proteins that are upregulated in the protected state. Here, we assemble a library of approximately 300 naturally-occurring and designed extremotolerance-associated proteins to assess their ability to protect human cells from chemically-induced apoptosis. We show that several proteins from tardigrades, nematodes, and the Chinese giant salamander are apoptosis protective. Notably, we identify a region of the human ApoE protein with similarity to extremotolerance-associated proteins that also protects against apoptosis. This region mirrors the phase separation behavior seen with such proteins, like the tardigrade protein CAHS2. Moreover, we identify a synthetic protein, DHR81, that shares this combination of elevated phase separation propensity and apoptosis protection. Finally, we demonstrate that driving protective proteins into the condensate state increases apoptosis protection, and highlight the ability for DHR81 condensates to sequester caspase-7. Taken together, this work draws a link between extremotolerance-associated proteins, condensate formation, and designing human cellular protection.

synthetic biology↗

Identification of neuronal lineages in the Drosophila peripheral nervous system with a novel multi-spectral lineage tracing system

Elucidating cell lineages provides crucial understanding of development. Recently developed sequencing-based techniques enhance the scale of lineage tracing but eliminate the spatial information offered by conventional approaches. Multispectral labeling techniques, such as Brainbow, have the potential to identify lineage-related cells in situ. Here, we report Lineage Tracker Bitbow, a \"digital\" version of Brainbow that greatly expands the color diversity, and a suite of statistical methods for quantifying the lineage relationship of any two cells. Applying these tools to Drosophila peripheral nervous system, we determined lineage relationship between all neuronal pairs. Based on the refined lineage map, we explored whether distinct cis-regulatory elements are used in controlling the expression of a terminal selector gene in distinct lineage patterns. This study demonstrates LT-Bitbow as an efficient tool for in-situ lineage mapping and its potential in studying molecular mechanisms in the lineage context.

neuroscience↗