Concept

Functional genomics

Related publications (147)

The dynamic genetic determinants of increased transcriptional divergence in spermatids

Cis-genetic effects are key determinants of transcriptional divergence in discrete tissues and cell types. However, how cis- and trans-effects act across continuous trajectories of cellular differentiation in vivo is poorly understood. Here, we quantify al ...

Berlin2024

Multi-well plate lid for single-step pooling of 96 samples for high-throughput barcode-based sequencing

Bart Deplancke, Daniel Migliozzi, Gilles Weder, Riccardo Dainese, Daniel Alpern, Hüseyin Baris Atakan, Mustafa Demir, Dariia Gudkova

High-throughput transcriptomics is of increasing fundamental biological and clinical interest. The generation of molecular data from large collections of samples, such as biobanks and drug libraries, is boosting the development of new biomarkers and treatm ...

Dordrecht2024

Chromatin modules and their implication in genomic organization and gene regulation

Bart Deplancke, Guido Van Mierlo, Judith Franziska Kribelbauer

Regulation of gene expression is a complex but highly guided process. While genomic technologies and computational approaches have allowed high-throughput mapping of cis-regulatory elements (CREs) and their interactions in 3D, their precise role in regulat ...

ELSEVIER SCIENCE LONDON2023

Evaluation of genetic demultiplexing of single-cell sequencing data from model species

Clement Helsens

Single-cell sequencing (sc-seq) provides a species agnostic tool to study cellular processes. However, these technologies are expensive and require sufficient cell quantities and biological replicates to avoid artifactual results. An option to address thes ...

LIFE SCIENCE ALLIANCE LLC2023

Living Photovoltaics based on Recombinant Expression of MtrA Decaheme in Photosynthetic Bacteria

Ardemis Anoush Boghossian, Melania Reggente, Mohammed Mouhib, Alessandra Antonucci, Nils Schürgers, Sara Politi

At the center of microbial bioelectricity applications lies the critical need to express foreign heme proteins that are capable of redirecting the electron flux of the cell’s metabolism. This study presents bioengineered Synechocystis sp. PCC 6803 cells ca ...

2023

Susceptibility of enveloped and non-enveloped viruses to ultraviolet light-emitting diode (UV-LED) irradiation and implications for virus inactivation mechanisms

Shotaro Torii

Ultraviolet (UV) light-emitting diodes (UV-LEDs), a disinfection technology, efficiently inactivate pathogens in water. However, the assessment of UV-LED treatment and the mechanisms of UV inactivation on viruses (especially enveloped viruses) are limited. ...

ROYAL SOC CHEMISTRY2023

Combi-seq for multiplexed transcriptome-based profiling of drug combinations using deterministic barcoding in single-cell droplets

Christoph Merten, Ngoc Hien Du

Anti-cancer therapies often exhibit only short-term effects. Tumors typically develop drug resistance causing relapses that might be tackled with drug combinations. Identification of the right combination is challenging and would benefit from high-content, ...

2022

Scaffolding protein functional sites using deep learning

Bruno Emanuel Ferreira De Sousa Correia, Karla Montserrat Castro Gilabert, Basile Isidore Martin Wicky, Jue Wang

The binding and catalytic functions of proteins are generally mediated by a small number of functional residues held in place by the overall protein structure. Here, we describe deep learning approaches for scaffolding such functional sites without needing ...

AMER ASSOC ADVANCEMENT SCIENCE2022

Assessing and enhancing foldability in designed proteins

Bruno Emanuel Ferreira De Sousa Correia, Stéphane Rosset, Che Yang

Recent advances in protein-design methodology have led to a dramatic increase in reliability and scale. With these advances, dozens and even thousands of designed proteins are automatically generated and screened. Nevertheless, the success rate, particular ...

WILEY2022

Protein language models trained on multiple sequence alignments learn phylogenetic relationships

Anne-Florence Raphaëlle Bitbol, Damiano Sgarbossa, Umberto Lupo

Self-supervised neural language models with attention have recently been applied to biological sequence data, advancing structure, function and mutational effect prediction. Some protein language models, including MSA Transformer and AlphaFold's EvoFormer, ...

NATURE PORTFOLIO2022

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