Jongoh Shin
KAIST 생명과학과 · 생화학·유전·분자생물학
Jongoh Shin 교수의 연구실은 극한 환경에서 활동하는 혐기성 박테리아, 특히 아세토제너스(acetogens)와 아크커만시아 무신피라(Akkermansia muciniphila)를 중심으로, 미생물의 대사 경로와 유전자 조절 메커니즘을 체계적으로 규명하고 있습니다. 특히 나노포어 시퀀싱을 활용한 전장 16S rRNA 분석, CRISPR-Cas9 기반 정밀 유전자 편집 기술 개발, 그리고 장내 미생물의 생리적 기능과 건강 장연장과의 연관성에 중점을 두고 있습니다. 이 연구들은 항생제 내성, 대사 공학, 그리고 장건강 향상 전략 개발에 기여하고 있습니다.
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
Demands for faster and more accurate methods to analyze microbial communities from natural and clinical samples have been increasing in the medical and healthcare industry. Recent advances in next-generation sequencing technologies have facilitated the elucidation of the microbial community composition with higher accuracy and greater throughput than was previously achievable; however, the short sequencing reads often limit the microbial composition analysis at the species level due to the high
<i>Akkermansia muciniphila</i> is widely considered a next-generation beneficial microbe. This bacterium resides in the mucus layer of its host and regulates intestinal homeostasis and intestinal barrier integrity by affecting host signaling pathways. However, it remains unknown how the expression of genes encoding extracellular proteins is regulated in response to dynamic mucosal environments. In this study, we elucidated the effect of mucin on the gene expression and probiotic traits of <i>A.
In conclusion, the changes in key microbial communities and their functions during ageing and three rejuvenation procedures, and the increase in the healthy lifespan of aged mice by oral administration of Akkermansia. Our results provide a rationale for developing therapeutic strategies to achieve healthy active ageing. Video abstract.
<i>Eubacterium limosum</i> is one of the important bacteria in C<sub>1</sub> feedstock utilization as well as in human gut microbiota. Although <i>E. limosum</i> has recently garnered much attention and investigation on a genome-wide scale, a bottleneck for systematic engineering in <i>E. limosum</i> is the lack of available genetic tools and an efficient genome editing platform. To overcome this limitation, we here report expanded genetic tools and the CRISPR-Cas9 system. We have developed an i
Acetogens are obligate anaerobic bacteria capable of reducing carbon dioxide (CO<sub>2</sub>) to multicarbon compounds coupled to the oxidation of inorganic substrates, such as hydrogen (H<sub>2</sub>) or carbon monoxide (CO), via the Wood-Ljungdahl pathway. Owing to the metabolic capability of CO<sub>2</sub> fixation, much attention has been focused on understanding the unique pathways associated with acetogens, particularly their metabolic coupling of CO<sub>2</sub> fixation to energy conserva
Acetogenic bacteria are a unique biocatalyst that highly promises to develop the sustainable bioconversion of carbon oxides (e.g., CO and CO<sub>2</sub>) into multicarbon biochemicals. Genotype-phenotype relationships are important for engineering their metabolic capability to enhance their biocatalytic performance; however, systemic investigation on the fitness contribution of individual gene has been limited. Here, we report genome-scale CRISPR interference screening using 41,939 guide RNAs de
Vibrio natriegens regulates natural competence through the TfoX and QstR transcription factors, which are involved in external DNA capture and transport. However, the extensive genetic and transcriptional regulatory basis for competency remains unknown. We used a machine-learning approach to decompose Vibrio natriegens's transcriptome into 45 groups of independently modulated sets of genes (iModulons). Our findings show that competency is associated with the repression of two housekeeping iModul
Acetogens synthesize acetyl-CoA via the CO<sub>2</sub>-fixing Wood-Ljungdahl pathway. Despite their ecological and biotechnological importance, their translational regulation of carbon and energy metabolisms remains unclear. Here, we report how carbon and energy metabolisms in the model acetogen Acetobacterium woodii are translationally controlled under different growth conditions. Data integration of genome-scale transcriptomic and translatomic analyses revealed that the acetogenesis genes, inc
Acetogens synthesize acetyl-CoA via CO<sub>2</sub> or CO fixation, producing organic compounds. Despite their ecological and industrial importance, their transcriptional and post-transcriptional regulation has not been systematically studied. With completion of the genome sequence of <i>Acetobacterium bakii</i> (4.28-Mb), we measured changes in the transcriptome of this psychrotolerant acetogen in response to temperature variations under autotrophic and heterotrophic growth conditions. Unexpecte
20 nm diameter SiO(2) nanopore arrays on gradient-thickness membranes were formed by a focused electron beam with in situ transmission electron microscopy (TEM). Nanopore shrinkage was seen in nanopores on thicker membranes, with the rate of diameter change remaining constant during the shrinkage process. In contrast, pore expansion was observed in thinner membranes, with the expansion rate being constant at the initial stage but with a slight increase at the later stage. The geometry model of s
Understanding diverse bacterial nutritional requirements and responses is foundational in microbial research and biotechnology. In this study, we employed knowledge-enriched transcriptomic analytics to decipher complex stress responses of Vibrio natriegens to supplied nutrients, aiming to enhance microbial engineering efforts. We computed 64 independently modulated gene sets that comprise a quantitative basis for transcriptome dynamics across a comprehensive transcriptomics dataset containing a
The gut microbiota is associated with the health and longevity of the host. A few methods, such as fecal microbiota transplantation and oral administration of probiotics, have been applied to alter the gut microbiome and promote healthy aging. The changes in host microbiomes still remain poorly understood. Here, we characterized both the changes in gut microbial communities and their functional potential derived from colon samples in mouse models during aging. We achieved this through four proce