Comprehensive Sequence Analysis Research Articles

Unraveling the genomic secrets of Tritonibacter mobilis AK171: a plant growth-promoting bacterium isolated from Avicennia marina

The scarcity of freshwater resources resulting in a significant yield loss presents a pressing challenge in agriculture. To address this issue, utilizing abundantly available saline water could offer a smart solution. In this study, we demonstrate that the genome sequence rhizosphere bacterium Tritonibacter mobilis AK171, a halophilic marine bacterium recognized for its ability to thrive in saline and waterlogged environments, isolated from mangroves, has the remarkable ability to enable plant growth using saline irrigation. AK171 is characterized as rod-shaped cells, displays agile movement in free-living conditions, and adopts a rosette arrangement in static media. Moreover, The qualitative evaluation of PGP traits showed that AK171 could produce siderophores and IAA but could not solubilize phosphate nor produce hydrolytic enzymes it exhibits a remarkable tolerance to high temperatures and salinity. In this study, we conducted a comprehensive genome sequence analysis of T. mobilis AK171 to unravel the genetic mechanisms underlying its plant growth-promoting abilities in such challenging conditions. Our analysis revealed diverse genes and pathways involved in the bacterium’s adaptation to salinity and waterlogging stress. Notably, T. mobilis AK171 exhibited a high level of tolerance to salinity and waterlogging through the activation of stress-responsive genes and the production of specific enzymes and metabolites. Additionally, we identified genes associated with biofilm formation, indicating its potential role in establishing symbiotic relationships with host plants. Furthermore, our analysis unveiled the presence of genes responsible for synthesizing antimicrobial compounds, including tropodithietic acid (TDA), which can effectively control phytopathogens. This genomic insight into T. mobilis AK171 provides valuable information for understanding the molecular basis of plant-microbial interactions in saline and waterlogged environments. It offers potential applications for sustainable agriculture in challenging conditions.

TGC-ARG: Anticipating Antibiotic Resistance via Transformer-Based Modeling and Contrastive Learning

In various domains, including everyday activities, agricultural practices, and medical treatments, the escalating challenge of antibiotic resistance poses a significant concern. Traditional approaches to studying antibiotic resistance genes (ARGs) often require substantial time and effort and are limited in accuracy. Moreover, the decentralized nature of existing data repositories complicates comprehensive analysis of antibiotic resistance gene sequences. In this study, we introduce a novel computational framework named TGC-ARG designed to predict potential ARGs. This framework takes protein sequences as input, utilizes SCRATCH-1D for protein secondary structure prediction, and employs feature extraction techniques to derive distinctive features from both sequence and structural data. Subsequently, a Siamese network is employed to foster a contrastive learning environment, enhancing the model’s ability to effectively represent the data. Finally, a multi-layer perceptron (MLP) integrates and processes sequence embeddings alongside predicted secondary structure embeddings to forecast ARG presence. To evaluate our approach, we curated a pioneering open dataset termed ARSS (Antibiotic Resistance Sequence Statistics). Comprehensive comparative experiments demonstrate that our method surpasses current state-of-the-art methodologies. Additionally, through detailed case studies, we illustrate the efficacy of our approach in predicting potential ARGs.

Roseateles caseinilyticus sp. nov. and Roseateles cellulosilyticus sp. nov., isolated from rice paddy field soil.

Two novel Gram-stain-negative strains designated P7T and P8T, were isolated from the soil of a paddy field in Goyang, Republic of Korea, and identified as new species within the genus Roseateles through a polyphasic taxonomic approach. These aerobic, rod-shaped, non-sporulating strains demonstrated optimal growth at 30°C, pH 7, and in the absence of NaCl (0% w/v). Phylogenetic analysis based on 16S rRNA gene sequences indicated close relationships with Roseateles saccharophilus DSM654T (98.7%) and Roseateles puraquae CCUG 52769T (98.96%), respectively. The average nucleotide identity (ANI) and digital DNA-DNA hybridization (dDDH) values between the isolates with the most closely related strains with publicly available whole genomes were 82.0-85.5% and 25.0-30.2%, respectively. The predominant fatty acids identified were C16:0 and summed feature 3 (composed of C16:1 ω6c and/or C16:1 ω7c), with minor amounts of C12:0, C10:0 3-OH and summed feature 8 (composed of C18:1 ω7c and/or C18:1 ω6c; 26.4%). Ubiquinone 8 was the main quinone, and the polar lipid profile included phosphatidylethanolamine, phosphatidylglycerol, two unidentified phosphoaminolipids, one unidentified phosphoglycolipid, three unidentified phospholipids, and one unidentified aminolipid. The draft genome sequences revealed genomic DNA G + C contents of 70.1% for P7T and 68.2% for P8T. Comprehensive physiological, biochemical, and 16S rRNA sequence analyses confirm these isolates as novel species of the genus Roseateles, proposed to be named Roseateles caseinilyticus sp. nov for strain P7T (= KACC 22504T = TBRC 15694T) and Roseateles cellulosilyticus sp. nov. for strain P8T (= KACC 22505T = TBRC 15695T).

Deciphering the genetic landscape of lumpy skin disease: Unraveling variable virulence through comprehensive genome sequence analysis in India

Lumpy Skin Disease (LSD), a poxvirus disease affecting cattle, emerged in India in 2019 and intensified in 2022, resulting in significant economic losses for dairy farmers. There was unusual shift in mortality and morbidity patterns during the second wave. A comprehensive genetic study conducted, analyzing samples from 2019 to 2022 revealed circulation of two distinct subclades (subclade 1.2a and 1.2b) in India, with the latter showing a different pattern in morbidity and mortality. Notably, the Ankyrin repeats gene-based analysis could differentiate animals with varying clinical scores. Genetic variations were significant, with unique deletions identified, including a 12-nucleotide deletion in the GPCR gene in virus isolates collected during 2022 outbreaks, not reported earlier in Indian LSDV strains. A crucial finding was a significant 95-nucleotide deletion in the Functional Resolution Sequence (FRS) repeats of LSDV genomes from 2022 outbreaks, absent in 2019 samples. These deletions may have influenced the virus's virulence in India.

VAMPirus: A versatile amplicon processing and analysis program for studying viruses.

Amplicon sequencing is an effective and increasingly applied method for studying viral communities in the environment. Here, we present vAMPirus, a user-friendly, comprehensive, and versatile DNA and RNA virus amplicon sequence analysis program, designed to support investigators in exploring virus amplicon sequencing data and running informed, reproducible analyses. vAMPirus intakes raw virus amplicon libraries and, by default, performs nucleotide- and amino acid-based analyses to produce results such as sequence abundance information, taxonomic classifications, phylogenies and community diversity metrics. The vAMPirus analytical framework leverages 16 different opensource tools and provides optional approaches that can increase the ratio of biological signal-to-noise and thereby reveal patterns that would have otherwise been masked. Here, we validate the vAMPirus analytical framework and illustrate its implementation as a general virus amplicon sequencing workflow by recapitulating findings from two previously published double-stranded DNA virus datasets. As a case study, we also apply the program to explore the diversity and distribution of a coral reef-associated RNA virus. vAMPirus is streamlined within Nextflow, offering straightforward scalability, standardization and communication of virus lineage-specific analyses. The vAMPirus framework is designed to be adaptable; community-driven analytical standards will continue to be incorporated as the field advances. vAMPirus supports researchers in revealing patterns of virus diversity and population dynamics in nature, while promoting study reproducibility and comparability.

Lgr6-expressing functional nail stem-like cells differentiated from human-induced pluripotent stem cells.

The nail matrix containing stem cell populations produces nails and may contribute to fingertip regeneration. Nails are important tissues that maintain the functions of the hand and foot for handling objects and locomotion. Tumor chemotherapy impairs nail growth and, in many cases, loses them, although not permanently. In this report, we have achieved the successful differentiation of nail stem (NS)-like cells from human-induced pluripotent stem cells (iPSCs) via digit organoids by stepwise stimulation, tracing the molecular processes involved in limb development. Comprehensive mRNA sequencing analysis revealed that the digit organoid global gene expression profile fits human finger development. The NS-like cells expressed Lgr6 mRNA and protein and produced type-I keratin, KRT17, and type-II keratin, KRT81, which are abundant in nails. Furthermore, we succeeded in producing functional Lgr6-reporter human iPSCs. The reporter iPSC-derived Lgr6-positive cells also produced KRT17 and KRT81 proteins in the percutaneously transplanted region. To the best of our knowledge, this is the first report of NS-like cell differentiation from human iPSCs. Our differentiation method and reporter construct enable the discovery of drugs for nail repair and possibly fingertip-regenerative therapy.

Comparative genome analysis of three classical E. coli cloning strains designed for blue/white selection: JM83, JM109 and XL1-Blue.

The development of the Escherichia coli K-12 laboratory strains JM83, JM109 and XL1-Blue was instrumental in early gene technology. We report the comprehensive genome sequence analysis of JM83 and XL1-Blue using Illumina and Oxford Nanopore technologies and a comparison with both the wild-type sequence (MG1655) and the genome of JM109 deposited at GenBank. Our investigation provides insight into the way how the genomic background that allows blue/white colony selection-by complementing a functionally inactive ω-fragment of β-galactosidase (LacZ) with its α-peptide encoded on the cloning vector-has been implemented independently in these three strains using classical bacterial genetics. In fact, their comparative analysis reveals recurrent motifs: (i) inactivation of the native enzyme via large deletions of chromosomal regions encompassing the lac locus, or a chemically induced frameshift deletion at the beginning of the lacZ cistron, and (ii) utilization of a defective prophage (ϕ80), or an F'-plasmid, to provide the lacZ∆M15 allele encoding its ω-fragment. While the genetic manipulations of the E. coli strains involved repeated use of mobile genetic elements as well as harsh chemical or physical mutagenesis, the individual modified traits appear remarkably stable as they can be found even in distantly related laboratory strains, beyond those investigated here. Our detailed characterization at the genome sequence level not only offers clues about the mechanisms of classical gene transduction and transposition but should also guide the future fine-tuning of E. coli strains for gene cloning and protein expression, including phage display techniques, utilizing advanced tools for site-specific genome engineering.

Transcriptomic analysis reveals candidate genes for phenolic acid biosynthesis in Polygonum chinense L.

Polygonum chinense L. (synonym: Persicaria chinensis) was considered a medicinal food homology plant, which was often used in herbal tea. This plant is rich in phenolic acid compounds that possess antibacterial, antioxidant, and other pharmacological properties. Although phenolic acids of P. chinense have been investigated pharmacologically, the genetic basis of phenolic acid biosynthesis in this plant is unknown due to the lack of a reference genome. In this study, we employed a combination of transcriptomics and bioinformatic analysis to construct a transcriptome database for three tissues (flowers, leaves, and stems) of P. chinense, and extracted genes related to the biosynthesis of phenolic acids. In total, 90,635 unigenes with a mean length of 1224 bp were obtained, 70,915 of which were functionally annotated. Seventy-eight differentially expressed genes (DEGs) associated with the phenolic acid biosynthetic pathway were identified, with five DEGs (CL4812–1, CL7291–1, CL5600–1, CL6332–3, and Unigene12384) being singled out as candidate genes putatively involved in the regulation of phenolic acid biosynthesis through correlation analysis. A comprehensive sequence analysis of these candidate genes was subsequently performed. The phylogenetic tree and the structural model were constructed, and molecular docking studies were conducted for the 4-coumarate-CoA ligase. Additionally, the expression levels of 12 unigenes encoding key enzymes involved in phenolic acid biosynthesis were validated using quantitative reverse transcription-PCR. Our study provides candidate genes at the transcriptional level for further investigation of the molecular regulatory mechanisms involved in phenolic acid biosynthesis, as well as a scientific basis for the development of P. chinense as a food-medicine dual-purpose plant.

Sugar-coated survival: N-glycosylation as a unique bearded dragon venom resistance trait within Australian agamid lizards

In the ongoing evolutionary arms race between predators and prey, adaptive innovations often trigger a reciprocal response. For instance, the emergence of α-neurotoxins in snake venom has driven prey species targeted by these snakes to evolve sophisticated defense mechanisms. This study zeroes in on the particular motifs within the orthosteric sites of post-synaptic nicotinic acetylcholine receptors (nAChR) that confer resistance to α-neurotoxins, often through structural alterations of nAChR. This research examined Australian agamid lizards, a primary prey group for Australian elapid snakes, which are subject to predatory selection pressures. We previously showed that Pogona vitticeps (Central bearded dragon) was resistant to α-neurotoxic snake venoms through a steric hindrance form resistance evolving within the nAChR orthosteric, specifically through the 187–189NVT motif resulting in the presence of N-glycosylation, with the branching carbohydrate chains impeding the binding by the neurotoxins. This adaptive trait is thought to be a compensatory mechanism for the lizard's limited escape capabilities. Despite the significance of this novel adaptation, the prevalence and evolutionary roots of such venom resistance in Australian agamids have not been thoroughly investigated. To fill this knowledge gap, we undertook a comprehensive sequencing analysis of the nAChR ligand-binding domain across the full taxonomical diversity of Australian agamid species. Our findings reveal that the N-glycosylation resistance mechanism is a trait unique to the Pogona genus and absent in other Australian agamids. This aligns with Pogona's distinctive morphology, which likely increases vulnerability to neurotoxic elapid snakes, thereby increasing selective pressures for resistance. In contrast, biolayer interferometry experiments with death adder (Acanthophis species) venoms did not indicate any resistance-related binding patterns in other agamids, suggesting a lack of similar resistance adaptations, consistent with these lineages either being fast-moving, covered with large defensive spines, or being arboreal. This research not only uncovers a novel α-neurotoxin resistance mechanism in Australian agamids but also highlights the complex dynamics of the predator-prey chemical arms race. It provides a deeper understanding of how evolutionary pressures shape the interactions between venomous snakes and their prey.

Phylogenetic analysis of the promoter element 2 of paramyxo- and filoviruses.

The genomic intricacies of paramyxo- and filoviruses are highlighted by the bipartite promoters-promoter element 1 (PE1) and promoter element 2 (PE2)-at their 3' termini. The spacer region between these elements follows the "rule of six," crucial for genome replication. By a comprehensive analysis of paramyxoviral genome sequences, we identified distinct subcategories of PE2 based on C and CG repeats that were specific to Orthoparamyxovirinae and Avulavirinae/Rubulavirinae, respectively, mirroring their evolutionary lineages. Notably, the PE2 of Rubulavirinae is integrated into the gene-coding region, a unique trait potentially linked to its strict dependence on RNA editing for virus growth. This study also focused on the PE2 sequences in filovirus genomes. The strict conservation of the continuity of UN5 among virus species emphasizes its crucial role in viral genome replication.

Ginsenoside Rg5 inhibits glioblastoma by activating ferroptosis via NR3C1/HSPB1/NCOA4

BackgroundThe utilization of Chinese medicine as an adjunctive therapy for cancer has recently gained significant attention. Ferroptosis, a newly regulated cell death process depending on the ferrous ions, has been proved to be participated in glioma stem cells inactivation. PurposeWe aim to study whether ginsenoside Rg5 exerted inhibitory effects on crucial aspects of glioma stem cells, including cell viability, tumor initiation, invasion, self-renewal ability, neurosphere formation, and stemness. MethodsThrough comprehensive sequencing analysis, we identified a compelling association between ginsenoside Rg5 and the ferroptosis pathway, which was further validated through subsequent experiments demonstrating its ability to activate this pathway. ResultsTo elucidate the precise molecular targets affected by ginsenoside Rg5 in gliomas, we conducted an intersection analysis between differentially expressed genes obtained from sequencing and a database-predicted list of transcription factors and potential targets of ginsenoside Rg5. This rigorous approach led us to unequivocally confirm NR3C1 (Nuclear Receptor Subfamily 3 Group C Member 1) as a direct target of ginsenoside Rg5, a finding consistently supported by subsequent experimental investigations. Moreover, we uncovered NR3C1′s capacity to transcriptionally regulate ferroptosis -related genes HSPB1 and NCOA4. Strikingly, ginsenoside Rg5 induced notable alterations in the expression levels of both HSPB1 (Heat Shock Protein Family B Member 1) and NCOA4 (Nuclear Receptor Coactivator 4). Finally, our intracranial xenograft assays served to reaffirm the inhibitory effect of ginsenoside Rg5 on the malignant progression of glioblastoma. ConclusionThese collective findings strongly suggest that ginsenoside Rg5 hampers glioblastoma progression by activating ferroptosis through NR3C1, which subsequently modulates HSPB1 and NCOA4. Importantly, this novel therapeutic direction holds promise for advancing the treatment of glioblastoma.

Transcriptional programs mediating neuronal toxicity and altered glial-neuronal signaling in a Drosophila knock-in tauopathy model.

Missense mutations in the gene encoding the microtubule-associated protein TAU (current and approved symbol is MAPT) cause autosomal dominant forms of frontotemporal dementia. Multiple models of frontotemporal dementia based on transgenic expression of human TAU in experimental model organisms, including Drosophila, have been described. These models replicate key features of the human disease but do not faithfully recreate the genetic context of the human disorder. Here we use CRISPR-Cas-mediated gene editing to model frontotemporal dementia caused by the TAU P301L mutation by creating the orthologous mutation, P251L, in the endogenous Drosophila tau gene. Flies heterozygous or homozygous for Tau P251L display age-dependent neurodegeneration, display metabolic defects, and accumulate DNA damage in affected neurons. To understand the molecular events promoting neuronal dysfunction and death in knock-in flies, we performed single-cell RNA sequencing on approximately 130,000 cells from brains of Tau P251L mutant and control flies. We found that expression of disease-associated mutant tau altered gene expression cell autonomously in all neuronal cell types identified. Gene expression was also altered in glial cells, suggestive of non-cell-autonomous regulation. Cell signaling pathways, including glial-neuronal signaling, were broadly dysregulated as were brain region and cell type-specific protein interaction networks and gene regulatory programs. In summary, we present here a genetic model of tauopathy that faithfully recapitulates the genetic context and phenotypic features of the human disease, and use the results of comprehensive single-cell sequencing analysis to outline pathways of neurotoxicity and highlight the potential role of non-cell-autonomous changes in glia.

The complete genome sequencing of Escherichia coli isolated from a patient who visited Pediatrics People's Hospital of Pingguo, China.

In this article, we present a comprehensive analysis of the genome sequence of Escherichia coli isolate ACESH02881hy, which has a 5,071,463-bp genome size. The strain was isolated from patient who visited the Pediatrics People's Hospital of Pingguo, China, 2021.

Investigating the impact of insertion sequences and transposons in the genomes of the most significant phytopathogenic bacteria.

Genetic variability in phytopathogens is one of the main problems encountered for effective plant disease control. This fact may be related to the presence of transposable elements (TEs), but little is known about their role in host genomes. Here, we performed the most comprehensive analysis of insertion sequences (ISs) and transposons (Tns) in the genomes of the most important bacterial plant pathogens. A total of 35 692 ISs and 71 transposons were identified in 270 complete genomes. The level of pathogen-host specialization was found to be a significant determinant of the element distribution among the species. Some Tns were identified as carrying virulence factors, such as genes encoding effector proteins of the type III secretion system and resistance genes for the antimicrobial streptomycin. Evidence for IS-mediated ectopic recombination was identified in Xanthomonas genomes. Moreover, we found that IS elements tend to be inserted in regions near virulence and fitness genes, such ISs disrupting avirulence genes in X. oryzae genomes. In addition, transcriptome analysis under different stress conditions revealed differences in the expression of genes encoding transposases in the Ralstonia solanacearum, X. oryzae, and P. syringae species. Lastly, we also investigated the role of Tns in regulation via small noncoding regulatory RNAs and found these elements may target plant-cell transcriptional activators. Taken together, the results indicate that TEs may have a fundamental role in variability and virulence in plant pathogenic bacteria.

TPMA: A two pointers meta-alignment tool to ensemble different multiple nucleic acid sequence alignments.

Accurate multiple sequence alignment (MSA) is imperative for the comprehensive analysis of biological sequences. However, a notable challenge arises as no single MSA tool consistently outperforms its counterparts across diverse datasets. Users often have to try multiple MSA tools to achieve optimal alignment results, which can be time-consuming and memory-intensive. While the overall accuracy of certain MSA results may be lower, there could be local regions with the highest alignment scores, prompting researchers to seek a tool capable of merging these locally optimal results from multiple initial alignments into a globally optimal alignment. In this study, we introduce Two Pointers Meta-Alignment (TPMA), a novel tool designed for the integration of nucleic acid sequence alignments. TPMA employs two pointers to partition the initial alignments into blocks containing identical sequence fragments. It selects blocks with the high sum of pairs (SP) scores to concatenate them into an alignment with an overall SP score superior to that of the initial alignments. Through tests on simulated and real datasets, the experimental results consistently demonstrate that TPMA outperforms M-Coffee in terms of aSP, Q, and total column (TC) scores across most datasets. Even in cases where TPMA's scores are comparable to M-Coffee, TPMA exhibits significantly lower running time and memory consumption. Furthermore, we comprehensively assessed all the MSA tools used in the experiments, considering accuracy, time, and memory consumption. We propose accurate and fast combination strategies for small and large datasets, which streamline the user tool selection process and facilitate large-scale dataset integration. The dataset and source code of TPMA are available on GitHub (https://github.com/malabz/TPMA).

Reduced Strigolactone Synthesis Weakens Drought Resistance in Tall Fescue via Root Development Inhibition

Drought stress significantly hampers plant growth and productivity. Strigolactones (SLs), a class of carotenoid-derived plant hormones, are recognized for their pivotal role in modulating plant morphology and enhancing drought resistance. Nonetheless, the underlying mechanisms through which SLs influence drought tolerance in tall fescue remain largely unexplored. In this study, we employed TIS108 to inhibit SL biosynthesis under drought conditions and assessed a range of morphological and physiological parameters in tall fescue, including biomass both above and below ground, antioxidase activities, proline and soluble sugar contents, and survival rates, across treatments of drought and drought coupled with TIS108 inhibition. Our findings demonstrate that the suppression of SL synthesis detrimentally affects the drought resilience of tall fescue. Through comprehensive transcriptome sequencing and subsequent qRT-PCR analyses of samples subjected to drought with and without TIS108 treatment, we identified a marked downregulation of genes involved in auxin metabolism and root development. This downregulation correlated with significant reductions in total root length, root surface area, and the number of root tips under drought stress conditions. Collectively, our research elucidates that the inhibition of SL synthesis impairs drought tolerance in tall fescue by constraining root growth and development, mediated through the modulation of auxin metabolism.

Discerning the dissemination mechanisms of antibiotic resistance genes through whole genome sequencing of extended-spectrum beta-lactamase (ESBL)-producing E. coli isolated from veterinary clinics and farms in South Korea

Extended-spectrum beta-lactamase (ESBL)-producing bacteria are resistant to most beta-lactams, including third-generation cephalosporins, limiting the treatment methods against the infections they cause. In this study, we performed whole genome sequencing of ESBL-producing E. coli to determine the mechanisms underlying the dissemination of antibiotic resistance genes. We analyzed 141 ESBL-producing isolates which had been collected from 16 veterinary clinics and 16 farms in South Korea. Long- and short-read sequencing platforms were used to obtain high-quality assemblies. The results showed that blaCTX-M is the dominant ESBL gene type found in South Korea. The spread of blaCTX-M appears to have been facilitated by both clonal spread between different host species and conjugation. Most blaCTX-M genes were found associated with diverse mobile genetic elements that may contribute to the chromosomal integration of the genes. Diverse incompatibility groups of blaCTX-M-harboring plasmids were also observed, which allows their spread among a variety of bacteria. Comprehensive whole genome sequence analysis was useful for the identification of the most prevalent types of ESBL genes and their dissemination mechanisms. The results of this study suggest that the propagation of ESBL genes can occur through clonal spread and plasmid-mediated dissemination, and that suitable action plans should be developed to prevent further propagation of these genes.

Abstract 4232: Exploring chemotherapy resistance in pancreatic cancer: Insights from a 3D organoid model

Abstract Pancreatic cancer is marked by a dismal prognosis, with a 5-year survival rate at approximately 10%. A key contributor to its lethality is the development of chemotherapy resistance, followed by early metastasis. However, studies elucidating the mechanisms behind chemotherapy resistance in pancreatic cancer are limited. Previous research has relied on 2D cell line models, which present limitations, such as uniform cell types that fail to capture tumor heterogeneity and an inaccurate representation of clinical realities, wherein resistance often develops gradually rather than through continuous exposure to high drug concentrations. In this study, we developed a more sophisticated organoid model of chemotherapy resistance. Six organoids from three patients were matched to study chemotherapy resistance in a personalized context. Comprehensive whole-exome sequencing and transcriptomic analyses were performed, along with an examination of chemotherapy resistance protein expression and EMT-related markers. Notably, differential expression levels of CK19 and Vimentin were observed between samples. Our analysis also focused on the expression of the ATP-Binding Cassette Subfamily G Member 2 (ABCG2) gene in chemoresistant organoids. Western blot analysis indicated a significant increase in ABCG2 expression in these organoids compared to controls. According to the Moffitt RNA signature, the primary and corresponding chemoresistant organoids retained their molecular subtype classifications both before and after developing chemoresistance. Gene set enrichment analysis uncovered significant upregulation of pathways related to DNA repair and cell cycle regulation, particularly the G2M checkpoint, in chemoresistant organoids. Furthermore, gene ontology functional analysis suggested a notable overrepresentation of activities related to amino acid transmembrane transport and extracellular matrix constituents, underscoring their potential role in the chemoresistance phenotype. Citation Format: Hee Seung Lee. Exploring chemotherapy resistance in pancreatic cancer: Insights from a 3D organoid model [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 4232.

Beyond the marrow: insights from comprehensive next-generation sequencing of extramedullary multiple myeloma tumors

Extramedullary multiple myeloma (EMM) is an aggressive form of multiple myeloma (MM). This study represents the most comprehensive next-generation sequencing analysis of EMM tumors (N = 14) to date, uncovering key molecular features and describing the tumor microenvironment. We observed the co-occurrence of 1q21 gain/amplification and MAPK pathway mutations in 79% of EMM samples, suggesting that these are crucial mutational events in EMM development. We also demonstrated that patients with mutated KRAS and 1q21 gain/amplification at the time of diagnosis have a significantly higher risk of EMM development (HR = 2.4, p = 0.011) using data from a large CoMMpass dataset. We identified downregulation of CXCR4 and enhanced cell proliferation, along with reduced expression of therapeutic targets (CD38, SLAMF7, GPRC5D, FCRH5), potentially explaining diminished efficacy of immunotherapy. Conversely, we identified significantly upregulated EZH2 and CD70 as potential future therapeutic options. For the first time, we report on the tumor microenvironment of EMM, revealing CD8+ T cells and NK cells as predominant immune effector cells using single-cell sequencing. Finally, this is the first longitudinal study in EMM revealing the molecular changes from the time of diagnosis to EMM relapse.

Comprehensive genome sequence analysis of Ralstonia solanacearum gd-2, a phylotype I sequevar 15 strain collected from a tobacco bacterial phytopathogen.

Plant bacterial wilt is an important worldwide disease caused by Ralstonia solanacearum which is a complex of species. In this study, we identified and sequenced the genome of R. solanacearum strain gd-2 isolated from tobacco. Strain gd-2 was identified as R. solanacearum species complex (RSSC) phylotype I sequevar 15 and exhibited strong pathogenicity to tobacco. The genome size of gd-2 was 5.93 Mb, including the chromosomes (3.83 Mb) and the megaplasmid (2.10 Mb). Gene prediction results showed that 3,434 and 1,640 genes were identified in the chromosomes and plasmids, respectively. Comparative genomic analysis showed that gd-2 exhibited high conservation with ten highly similar strain genomes and the differences between gd-2 and other genomes were mainly located at positions GI12-GI14. 72 type III effectors (T3Es) were identified and RipAZ2 was a T3E specific to gd-2 compared with other eight sequenced strain. Our study provides a new basis and evidence for studying the pathogenic mechanism of R. solanacearum.