Biology subjects

Jeong, H.

Publications and source records attributed to Jeong, H..

3 recordsLinked to original sources

bioRxiv2018

Commensal gut bacteria convert the immunosuppressant tacrolimus to less potent metabolites

Tacrolimus exhibits low and variable drug exposure after oral dosing, but the contributing factors remain unclear. Based on our recent report showing a positive correlation between fecal abundance of Faecalibacterium prausnitzii and oral tacrolimus dose in kidney transplant patients, we tested whether F. prausnitzii and other gut abundant bacteria are capable of metabolizing tacrolimus. Incubation of F. prausnitzii with tacrolimus led to production of two compounds (the major one named M1), which was not observed upon tacrolimus incubation with hepatic microsomes. Isolation, purification, and structure elucidation using mass spectrometry and nuclear magnetic resonance spectroscopy indicated that M1 is a C-9 keto-reduction product of tacrolimus. Pharmacological activity testing using human peripheral blood mononuclear cells demonstrated that M1 is 15-fold less potent than tacrolimus as an immunosuppressant. Screening of 22 gut bacteria species revealed that most Clostridiales bacteria are extensive tacrolimus metabolizers. Tacrolimus conversion to M1 was verified in fresh stool samples from two healthy adults. M1 was also detected in the stool samples from kidney transplant recipients who had been taking tacrolimus orally. Together, this study presents gut bacteria metabolism as a previously unrecognized elimination route of tacrolimus, potentially contributing to the low and variable tacrolimus exposure after oral dosing.

pharmacology and toxicology↗

bioRxiv2018

Conversion of a soluble protein into a potent chaperone in vivo

Protein-folding assistance and aggregation inhibition by cellular factors are largely understood in the context of molecular chaperones. As an alternative and complementary model, we previously proposed that, in general, soluble cellular macromolecules including chaperones with large excluded volume and surface charges exhibit the intrinsic chaperone activity to prevent aggregation of their connected polypeptides, irrespective of the connection types, and thus to aid productive protein folding. As a proof of concept, we here demonstrated that a model soluble protein with an inactive protease domain robustly exerted chaperone activity toward various proteins harboring a short protease-recognition tag of 7 residues in Escherichia coli. The chaperone activity of this protein was similar or even superior to that of representative E. coli chaperones in vivo. Furthermore, in vitro refolding experiments confirmed the in vivo results. Our findings revealed that a soluble protein exhibits the intrinsic chaperone activity, which is manifested, upon binding to aggregation-prone proteins. This study gives new insights into the ubiquitous chaperoning role of cellular macromolecules in protein-folding assistance and aggregation inhibition underlying the maintenance of protein solubility and proteostasis in vivo.

biochemistry↗

bioRxiv2016

Contamination as a major factor in poor Illumina assembly of microbial isolate genomes

The nonhybrid hierarchical assembly of PacBio long reads is becoming the most preferred method for obtaining genomes for microbial isolates. On the other hand, among massive numbers of Illumina sequencing reads produced, there is a slim chance of re-evaluating failed microbial genome assembly (high contig number, large total contig size, and/or the presence of low-depth contigs). We generated Illumina-type test datasets with various levels of sequencing error, pretreatment (trimming and error correction), repetitive sequences, contamination, and ploidy from both simulated and real sequencing data and applied k-mer abundance analysis to quickly detect possible diagnostic signatures of poor assemblies. Contamination was the only factor leading to poor assemblies for the test dataset derived from haploid microbial genomes, resulting in an extraordinary peak within low-frequency k-mer range. When thirteen Illumina sequencing reads of microbes belonging to genera Bacillus or Paenibacillus from a single multiplexed run were subjected to a k-mer abundance analysis, all three samples leading to poor assemblies showed peculiar patterns of contamination. Read depth distribution along the contig length indicated that all problematic assemblies suffered from too many contigs with low average read coverage, where 1% to 15% of total reads were mapped to low-coverage contigs. We found that subsampling or filtering out reads having rare k-mers could efficiently remove low-level contaminants and greatly improve the de novo assemblies. An analysis of 16S rRNA genes recruited from reads or contigs and the application of read classification tools originally designed for metagenome analyses can help identify the source of a contamination. The unexpected presence of proteobacterial reads across multiple samples, which had no relevance to our lab environment, implies that such prevalent contamination might have occurred after the DNA preparation step, probably at the place where sequencing service was provided.

genomics↗