Publications by authors named "M S Sereika"

Unlabelled: Cable bacteria, filamentous sulfide oxidizers that live in sulfidic sediments, are at times associated with large flocks of swimming bacteria. It has been proposed that these flocks of bacteria transport electrons extracellularly to cable bacteria via an electron shuttle intermediate, but the identity and activity of these bacteria in freshwater sediment remain mostly uninvestigated. Here, we elucidate the electron exchange capabilities of the bacterial community by coupling metagenomics and metatranscriptomics to 16S rRNA amplicon-based correlations with cable bacteria over 155 days.

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Cable bacteria of the Desulfobulbaceae family are centimeter-long filamentous bacteria, which are capable of conducting long-distance electron transfer. Currently, all cable bacteria are classified into two candidate genera: Candidatus Electronema, typically found in freshwater environments, and Candidatus Electrothrix, typically found in saltwater environments. This taxonomic framework is based on both 16S rRNA gene sequences and metagenome-assembled genome (MAG) phylogenies.

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Article Synopsis
  • - Cell signaling manipulation is crucial for cancer treatment, with the relationship between cell state and drug response being vital for developing effective therapies tailored to individual patients.
  • - The study examined how non-oncogene dependencies influence lung cancer cell resistance to treatments by investigating the interaction between MEK/ERK and PI3K/AKT pathways using patient-derived cell lines with different characteristics.
  • - Researchers found that inhibitors of MEK/ERK increased AKT activation and vice versa, indicating that these pathways communicate in response to these inhibitors, but the nature of this interaction varies based on the cellular environment and state.
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Motivation: Despite recent advancements in sequencing technologies and assembly methods, obtaining high-quality microbial genomes from metagenomic samples is still not a trivial task. Current metagenomic binners do not take full advantage of assembly graphs and are not optimized for long-read assemblies. Deep graph learning algorithms have been proposed in other fields to deal with complex graph data structures.

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Long-read Oxford Nanopore sequencing has democratized microbial genome sequencing and enables the recovery of highly contiguous microbial genomes from isolates or metagenomes. However, to obtain near-finished genomes it has been necessary to include short-read polishing to correct insertions and deletions derived from homopolymer regions. Here, we show that Oxford Nanopore R10.

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