Sequencing Library Preparation Research Articles

Multiplexed chromatin immunoprecipitation sequencing for quantitative study of histone modifications and chromatin factors.

ChIP-seq is a widely used technique for studying histone post-translational modifications and DNA-binding proteins. DNA fragments associated with a specific protein or histone modification epitope are captured by using antibodies, sequenced and mapped to a reference genome. Albeit versatile and popular, performing many parallel ChIP-seq experiments to compare different conditions, replicates and epitopes is laborious, is prone to experimental variation and does not allow quantitative comparisons unless adequate spike-in chromatin is included. We present a detailed protocol for performing and analyzing a multiplexed quantitative chromatin immunoprecipitation-sequencing experiment (MINUTE-ChIP), in which multiple samples are profiled against multiple epitopes in a single workflow. Multiplexing not only dramatically increases the throughput of ChIP-seq experiments (e.g., profiling 12 samples against multiple histone modifications or DNA-binding proteins in a single experiment), but also enables accurate quantitative comparisons. The protocol consists of four parts: sample preparation (i.e., lysis, chromatin fragmentation and barcoding of native or formaldehyde-fixed material), pooling and splitting of the barcoded chromatin into parallel immunoprecipitation reactions, preparation of next-generation sequencing libraries from input and immunoprecipitated DNA and data analysis using our dedicated analysis pipeline. This pipeline autonomously generates quantitatively scaled ChIP-seq tracks for downstream analysis and visualization, alongside necessary quality control indicators. The entire workflow requires basic knowledge in molecular biology and bioinformatics and can be completed in 1 week. MINUTE-ChIP empowers biologists to perform every ChIP-seq experiment with an appropriate number of replicates and control conditions, delivering more statistically robust, exquisitely quantitative and biologically meaningful results.

Profiles of differential expression of miRNAs in the late stage of red blood cell preservation and their potential roles

ObjectiveTo detect the differentially expressed regulatory miRNAs in the late stage of red blood cell (RBC) preservation and predict their roles. MethodsSuspended RBCs with different storage periods of 35 day, 42 day, and 50 day were collected for routine blood tests, RNA extraction, and preparation of small RNA sequencing libraries. The constructed libraries were sequenced and the biological functions of differential miRNAs in RBCs in the late storage were analyzed by bioinformatics. ResultsRoutine indicators of RBCs in the late stage were not significantly affected by preservation time. The Pearson correlation analysis performing on RBC miRNAs with different storage days revealed that RBC miRNAs changed with the increase of storage days. RBC miRNAs from day 35 (D35), day 42 (D42) and day 50 (D50) showed significant differences (P<0.05). Compared RBC miRNAs from D42 with these from D35, there were 690 up-regulated miRNAs and 82 down-regulated miRNAs; compared RBC miRNAs from D50 with these from D35, there were 638 up-regulated miRNAs and 123 down-regulated miRNAs; compared RBC miRNAs from D42 with these from D50, there were 271 up-regulated miRNAs and 515 down-regulated miRNAs. GO enrichment analysis of target genes of differential miRNAs were mainly involved in cell metabolism, biosynthesis, protein modification, gene expression and transcriptional regulation of biological processes. KEGG pathway enrichment analysis of miRNA target genes showed that differential miRNA target genes were closely related to pathways in cancer. ConclusionMiRNAs were differentially expressed in the late stage of RBC preservation, and may be involved in various biological processes, especially cancer.

High-quality genome assemblies for nine non-model North American insect species representing six orders (Insecta: Coleoptera, Diptera, Hemiptera, Hymenoptera, Lepidoptera, Neuroptera).

Field-collected specimens were used to obtain nine high-quality genome assemblies from a total of 10 insect species native to prairies and savannas of central Illinois (USA): Mellilla xanthometata (Lepidoptera: Geometridae), Stenolophus ochropezus (Coleoptera: Carabidae), Forcipata loca (Hemiptera: Cicadellidae), Coelinius sp. (Hymenoptera: Braconidae), Thaumatomyia glabra (Diptera: Chloropidae), Brachynemurus abdominalus (Neuroptera: Myrmeleontidae), Catonia carolina (Hemiptera: Achilidae), Oncometopia orbona (Hemiptera: Cicadellidae), Flexamia atlantica (Hemiptera: Cicadellidae) and Stictocephala bisonia (Hemiptera: Membracidae). Sequencing library preparation from single specimens was successful despite extremely small DNA yields (<0.1 μg) for some samples. Additional sequencing and assembly workflows were adapted to each sample depending on the initial DNA yield. PacBio circular consensus (CCS/HiFi) or continuous long reads (CLR) libraries were used to sequence DNA fragments up to 50 kb in length, with Illumina sequenced linked-reads (TellSeq libraries) and Omni-C libraries used for scaffolding and gap-filling. Assembled genome sizes ranged from 135 MB to 3.2 GB. The number of assembled scaffolds ranged from 47 to >13,000, with the longest scaffold per assembly ranging from ~23 to 439 Mb. Genome completeness was high, with BUSCO scores ranging from 85.5% completeness for the largest genome (Stictocephala bisonia) to 98.8% completeness for the smallest genome (Coelinius sp.). The unique content was estimated using RepeatMasker and GenomeScope2, which ranged from 50.7% to 75.8% and roughly decreased with increasing genome size. Structural annotation predicted a range of 19,281-72,469 protein models for sequenced species. Sequencing costs per genome at the time ranged from US$3-5k, averaged ~1600 CPU-hours on a high-performance cluster and required approximately 14 h of bioinformatics analyses with samples using PacBio HiFi data. Most assemblies would benefit from further manual curation to correct possible scaffold misjoins and translocations suggested by off-diagonal or depleted signals in Omni-C contact maps.

Targeted DNA-seq and RNA-seq of Reference Samples with Short-read and Long-read Sequencing

Next-generation sequencing (NGS) has revolutionized genomic research by enabling high-throughput, cost-effective genome and transcriptome sequencing accelerating personalized medicine for complex diseases, including cancer. Whole genome/transcriptome sequencing (WGS/WTS) provides comprehensive insights, while targeted sequencing is more cost-effective and sensitive. In comparison to short-read sequencing, which still dominates the field due to high speed and cost-effectiveness, long-read sequencing can overcome alignment limitations and better discriminate similar sequences from alternative transcripts or repetitive regions. Hybrid sequencing combines the best strengths of different technologies for a more comprehensive view of genomic/transcriptomic variations. Understanding each technology’s strengths and limitations is critical for translating cutting-edge technologies into clinical applications. In this study, we sequenced DNA and RNA libraries of reference samples using various targeted DNA and RNA panels and the whole transcriptome on both short-read and long-read platforms. This study design enables a comprehensive analysis of sequencing technologies, targeting protocols, and library preparation methods. Our expanded profiling landscape establishes a reference point for assessing current sequencing technologies, facilitating informed decision-making in genomic research and precision medicine.

Balancing pH for enhanced bacterial community performance in microbial fuel cells: implications for bio-electricity generation and pollutant reduction

Microbial fuel cells (MFCs) represent a promising technology to generate bio-electricity and synchronously reduce wastewater pollutants. The presence of exoelectrogens in wastewater is critical for bio-electricity and pollutant reduction, but the performance of exoelectrogens at different pH levels remains unknown. This study aims to bridge this gap by offering an integrated approach to understanding the performance of exoelectrogens under varying substrate pH, particularly in bio-electricity generation and pollutant reduction in sugarbeet processing wastewater (SBWW). Three pH levels (ranging from acidic to alkaline) were studied and MFC's electricity output was measured. Later, current density, power density, and coulombic efficiency (CE) were calculated. Both pre- and post-experiment substrate samples were analysed with inductively coupled plasma (ICP). Furthermore, 16S rRNA gene analysis, DNA amplification, sequencing library preparation, and bioinformatics workflows on post-experiment samples of the substrate and anode samples were conducted. A diverse community of microorganisms was identified, especially Alphaproteobacteria, Gammaproteobacteria, and Deltaproteobacteria (Geobacter). Bacteroidetes and Desulfovibrio were the major exoelectrogens responsible for electricity generation. Among the three pH levels tested, the most alkaline pH level (9.5±0.1) outperformed the others, achieving a 54% higher power density, 21% greater current density, and a 40% higher CE compared to the acidic pH level (6.5±0.1). Around 50–99% of pollutants were removed from the SBWW. The study revealed that Gammaproteobacteria thrive and perform better in alkaline environment.

Automation of customizable library preparation for next-generation sequencing into an open microfluidic platform

Next-generation sequencing (NGS) is becoming more relevant for medical diagnostics, especially for using cell-free DNA to monitor response to therapy in cancer management, as high sensitivity of NGS enables detection of rare events. Sequencing Library preparation is a time-consuming and complex process, and large-scale liquid handlers are often used for automation. However, for smaller labs and low-to-medium throughput samples, these liquid handlers are expensive and need experts for handling. This work presents a proof-of-concept for library preparation on a commercially available and open lab-on-a-chip platform, which provides an alternative automation for low-to-medium throughput requirements. It covers common library preparation steps optimized to a microfluidic environment that include customizable PCR for target enrichment, end-repair, adapter ligation, nucleic acid purification via magnetic beads, and an integrated quantification step. The functionality of the cartridge is demonstrated with reference cfDNA containing different allelic frequencies of seven known mutations. Processing the samples in the cartridge reveals highly comparable results to manual processing (Pearson r = 0.94) based on amplicon sequencing. Summarized, the proposed automated lab-on-a-chip workflow for customizable library preparation could further pave the way for NGS to evolve from a technology used for research purposes to one that is applied in routine cancer management.

DMF-DM-seq: Digital-Microfluidics Enabled Dual-Modality Sequencing of Single-Cell mRNA and microRNA with High Integration, Sensitivity, and Automation.

Multimodal measurement of single cells provides deep insights into the intricate relationships between individual molecular layers and the regulatory mechanisms underlying intercellular variations. Here, we reported DMF-DM-seq, a highly integrated, sensitive, and automated platform for single-cell mRNA and microRNA (miRNA) co-sequencing based on digital microfluidics. This platform first integrates the processes of single-cell isolation, lysis, component separation, and simultaneous sequencing library preparation of mRNA and miRNA within a single DMF device. Compared with the current half-cell measuring strategy, DMF-DM-seq enables complete separation of single-cell mRNA and miRNA via a magnetic field application, resulting in a higher miRNA detection ability. DMF-DM-seq revealed differential expression patterns of single cells of noncancerous breast cells and noninvasive and aggressive breast cancer cells at both mRNA and miRNA levels. The results demonstrated the anticorrelated relationship between miRNA and their mRNA targets. Further, we unravel the tumor growth and metastasis-associated biological processes enriched by miRNA-targeted genes, along with important miRNA-interaction networks involved in significant signaling pathways. We also deconstruct the miRNA regulatory mechanisms underlying different signaling pathways across different breast cell types. In summary, DMF-DM-seq offers a powerful tool for a comprehensive study of the expression heterogeneity of single-cell mRNA and miRNA, which will be widely applied in basic and clinical research.

OpenTn5: Open-Source Resource for Robust and Scalable Tn5 Transposase Purification and Characterization.

Tagmentation combines DNA fragmentation and sequencing adapter addition by leveraging the transposition activity of the bacterial cut-and-paste Tn5 transposase, to enable efficient sequencing library preparation. Here we present an open-source protocol for the generation of multi-purpose hyperactive Tn5 transposase, including its benchmarking in CUT&Tag, bulk and single-cell ATAC-seq. The OpenTn5 protocol yields multi-milligram quantities of pG-Tn5E54K, L372P protein per liter of E. coli culture, sufficient for thousands of tagmentation reactions and the enzyme retains activity in storage for more than a year.

P-563 Improved diagnosis in PGT-A samples with intermediate sex chromosomes copy number changes by adding ploidy and contamination analysis

Abstract Study question Does triple analysis of aneuploidy, ploidy and contamination improve the diagnosis in samples with intermediate copy number changes for the X and the Y chromosomes? Summary answer PGT-A with additional ploidy and contamination analysis improves the diagnosis of samples with intermediate sex chromosomes copy number changes, reducing non-informativity and the re-biopsy need. What is known already Next Generation Sequencing (NGS) in Preimplantation Genetic Testing for Aneuploidies (PGT-A) identifies chromosomal aneuploidies in trophectoderm (TE) biopsies. However, diagnosis limitations exist when the TE biopsy displays intermediate copy number changes for the X and the Y chromosomes, observed in ∼0.3% of biopsies. Few explanations are plausible, including mosaicism for the sex chromosomes, presence of exogenous DNA contamination or triploidy. A second TE biopsy (re-biopsy) could be recommended to obtain a conclusive result. However, additional Single Nucleotide Polymorphism (SNP) analysis to determine the ploidy status of the embryo and the presence of contamination in the biopsy can be an alternative. Study design, size, duration In this retrospective study, the impact on the diagnosis of SNPs analysis with a target panel was evaluated in PGT-A samples showing intermediate copy number changes for the X and the Y chromosomes. A total of 21 TE biopsies from January to December 2023 were included in the study. Participants/materials, setting, methods The TE biopsies were analysed using NGS with a proprietary protocol for library preparation, Ion Chef and Ion S5 System instruments for sequencing and a proprietary bioinformatics pipeline (v2.0) for 24-chromosomes aneuploidy testing. A re-biopsy was analysed in 8 embryos using the same protocol. Eighteen original biopsies were retrospectively evaluated for ploidy and contamination using an Ion AmpliSeq Custom Panel including SNPs (Thermo Fisher Scientific, USA) and a proprietary algorithm (v1.0) for data analysis. Main results and the role of chance The 21 TE biopsies displaying intermediate copy number changes for the X and the Y chromosomes were initially diagnosed as non-informative and candidates for re-biopsy to rescue diagnosis. A total of 8 embryos were re-biopsied (38.1%): 6 re-biopsies (75.0%) showed the same intermediate sex chromosomes copy number changes suggesting a triploid status of the embryo, 1 re-biopsy (12.5%) showed trisomy 22 suggesting DNA contamination in the original biopsy and, 1 re-biopsy (12.5%) displayed a mosaic monosomy X/XY suggesting a diploid-mosaic status of the embryo. In 18 original TE biopsies (85.7%), an additional ploidy and contamination analysis was done: 10 samples were triploid (55.6%), 6 samples showed DNA contamination (33.3%) and 2 samples were diploid (11.1%). In 5 embryos, the re-biopsy with the aneuploidy testing had been done: (i) in 4 triploid embryos the re-biopsies showed the same intermediate copy number changes for the sex chromosomes than the original biopsy, confirming the triploid status of the embryo; (ii) in 1 diploid embryo the re-biopsy showed a mosaic monosomy X/XY, confirming the diploid status and the sex chromosome mosaicism of the embryo. From the 21 embryos initially non-informative, only the 6 contaminated ones remained non-informative and candidates for re-biopsy (33.3%). Limitations, reasons for caution The limited number of samples with both analysis, ploidy/contamination by SNPs in the original sample and aneuploidy by NGS in the re-biopsy precluded to drawn stronger conclusions. This double-check would reinforce the benefit of doing additional ploidy/contamination analysis in these specific cases. Wider implications of the findings A high incidence of samples with intermediate sex chromosomes copy number are triploid, some have exogenous DNA contamination, and few are real mosaics for the sex chromosomes. Additional ploidy and contamination analysis could improve the PGT-A diagnosis and decrease mosaicism and non-informativity rates, reducing the embryos that would need re-biopsy. Trial registration number Not applicable

All-optical voltage imaging-guided postsynaptic single-cell transcriptome profiling with Voltage-Seq.

Neuronal pathways recruit large postsynaptic populations and maintain connections via distinct postsynaptic response types (PRTs). Until recently, PRTs were accessible as a selection criterion for single-cell RNA sequencing only through probing by low-throughput whole-cell electrophysiology. To overcome these limitations and target neurons on the basis of specific PRTs for soma collection and subsequent single-cell RNA sequencing, we developed Voltage-Seq using the genetically encoded voltage indicator Voltron in acute brain slices from mice. We also created an onsite analysis tool, VoltView, to guide soma collection of specific PRTs using a classifier based on a previously acquired database of connectomes from multiple animals. Here we present our procedure for preparing the optical path, the imaging setup and detailing the imaging and analysis steps, as well as a complete procedure for sequencing library preparation. This enables researchers to conduct our high-throughput all-optical synaptic assay and to obtain single-cell transcriptomic data from selected postsynaptic neurons. This also allows researchers to resolve the connectivity ratio of a specific pathway and explore the diversity of PRTs within that connectome. Furthermore, combining high throughput with quick analysis gives unique access to find specific connections within a large postsynaptic connectome. Voltage-Seq also allows the investigation of correlations between connectivity and gene expression changes in a postsynaptic cell-type-specific manner for both excitatory and inhibitory connections. The Voltage-Seq workflow can be completed in ~6 weeks, including 4-5 weeks for viral expression of the Voltron sensor. The technique requires knowledge of basic laboratory techniques, micromanipulator handling skills and experience in molecular biology and bioinformatics.

Leveraging the fundamentals of heat transfer and fluid mechanics in microscale geometries for automated next-generation sequencing library preparation

Next-generation sequencing (NGS) is emerging as a powerful tool for molecular diagnostics but remains limited by cumbersome and inefficient sample preparation. We present an innovative automated NGS library preparation system with a simplified mechanical design that exploits both macro- and microfluidic properties for optimizing heat transfer, reaction kinetics, mass transfer, fluid mechanics, adsorption–desorption rates, and molecular thermodynamics. Our approach introduces a unique two-cannula cylindrical capillary system connected to a programmable syringe pump and a Peltier heating element able to execute all steps with high efficiency. Automatic reagent movement, mixing, and magnetic bead-based washing with capillary-based thermal cycling (capillary-PCR) are completely integrated into a single platform. The manual 3-h library preparation process is reduced to less than 15 min of hands-on time via optimally pre-plated reagent plates, followed by less than 6 h of instrument run time during which no user interaction is required. We applied this method to two library preparation assays with different DNA fragmentation requirements (mechanical vs. enzymatic fragmentation), sufficiently limiting consumable use to one cartridge and one 384 well-plate per run. Our platform successfully prepared eight libraries in parallel, generating sequencing data for both human and Escherichia coli DNA libraries with negligible coverage bias compared to positive controls. All sequencing data from our libraries attained Phred (Q) scores > 30, mapping to reference genomes at 99% confidence. The method achieved final library concentrations and size distributions comparable with the conventional manual approach, demonstrating compatibility with downstream sequencing and subsequent data analysis. Our engineering design offers repeatability and consistency in the quality of sequence-able libraries, asserting the importance of mechanical design considerations that employ and optimize fundamental fluid mechanics and heat transfer properties. Furthermore in this work, we provide unique insights into the mechanisms of sample loss within NGS library preparation assays compared with automated adaptations and pinpoint areas in which the principles of thermodynamics, fluid mechanics, and heat transfer can improve future mechanical design iterations.

Abstract PO3-24-04: Altered epigenetic modifications and genome architecture reshape lipid metabolism during secondary trastuzumab resistance formation of HER2-positive breast cancer

Abstract Title Altered epigenetic modifications and genome architecture reshape lipid metabolism during secondary trastuzumab resistance formation of HER2-positive breast cancer Background Secondary trastuzumab resistance seriously affects the treatment of HER2-positive breast cancer. Although studies have demonstrated several key cellular properties that are closely accompanied with trastuzumab resistance formation, we still have poor knowledge on the genetic and epigenetic variations that promote such transformation. Here we suggested that the epigenetic modification changes on histone H3 together with altered chromatin architecture promote lipid metabolism reprogramming during secondary trastuzumab formation. Materials and methods Induced secondary trastuzumab-resistant SKBR3_HR cell line together with the original trastuzumab-sensitive SKBR3 cell line were applied in this study. Total RNA was collected for transcriptome analysis. Anti-H3K4me3 and K27me3 antibodies were chosen for CUT&amp;Tag sequencing library preparation. Total genome DNA was prepared for Micro-C sequencing library preparation. Activity score of metabolism pathway was calculated as relative gene expression value averaged over all genes in this pathway in certain cell types. Results Upregulation of arachidonic acid metabolism and downregulation of unsaturated fatty acid synthesis, which are mainly characterized by the activation of PTGS1 and PTGES genes and the repression of FASN and SCD genes, respectively, were observed during the formation of secondary trastuzumab resistance from SKBR3 cell to SKBR3_HR cells. Variations of H3k4me3 instead of H3k27me3 regulate the expression of these 4 genes. The accumulation of H3k4me3 was detected at the promoters of PTGS1 and PTGES genes while they were removed from the promoters of FASN and SCD genes in SKBR3_HR cells. More intra-chromosomal interactions were constituted during resistance formation. In detail, 4626 and 4394 topological associated domains, 3125 and 5824 DNA loops were founded in SKBR3 and SKBR3_HR cells, respectively. Furthermore, the lost and gained DNA loops between SCD and PTGS1 genes and distant genome regions may indicate the weaken and strengthen interactions with transcriptional regulators located there. Conclusions During trastuzumab resistance formation, altered histone modifications as well as higher genome structure could regulate the expression of key genes in lipid metabolism pathways, which may further affect cell properties and interactions with cells in tumor microenvironment. Citation Format: Ningjun Duan, Yijia Hua, Yongmei Yin. Altered epigenetic modifications and genome architecture reshape lipid metabolism during secondary trastuzumab resistance formation of HER2-positive breast cancer [abstract]. In: Proceedings of the 2023 San Antonio Breast Cancer Symposium; 2023 Dec 5-9; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2024;84(9 Suppl):Abstract nr PO3-24-04.

MiRNome Profiling Analysis Reveals Novel Hepatocellular Carcinoma Diagnostic, Prognostic and Treatment-Related Candidate Biomarkers: Post hoc Analysis of SORAMIC Trial

Introduction: Early diagnosis of hepatocellular carcinoma (HCC) as well as evaluation of prognosis and prediction of treatment efficacy remains challenging due to the missing specific non-invasive biomarkers. The aim of this study was to identify disease-specific microRNA (miRNA) patterns for diagnosis, prediction of prognosis, and treatment response in patients with HCC. Methods: The study population included 42 HCC patients from SORAMIC clinical trial: 22 patients received sorafenib monotherapy, 20 patients underwent 90Y radioembolization in combination with sorafenib. 20 individuals were included in the control group. HCC patients underwent collection of plasma samples before and 7–9 weeks after the beginning of the treatment. Isolation of circulating miRNAs, preparation of small RNA sequencing libraries and next-generation sequencing were performed. Association analysis for novel diagnostic, prognostic, and treatment-related candidate biomarkers was performed. Results: A total of 42 differentially expressed (16 up-regulated and 26 down-regulated) miRNAs were identified comparing baseline and control group plasma samples. hsa-miR-215-5p and hsa-miR-192-5p were down-regulated, while hsa-miR-483-5p and hsa-miR-23b-3p were up-regulated comparing baseline and 7–9 weeks post-sorafenib monotherapy samples. hsa-miR-215-5p was the sole down-regulated miRNA in the same combination therapy comparison. hsa-miR-183-5p, hsa-miR-28-3p, and hsa-miR-1246 were found to be significantly up-regulated comparing non-responders versus responders to sorafenib. High hsa-miR-215-5p expression was significantly associated with worse HCC patients’ prognosis. Conclusions: Systematic miRNA profiling of highly characterized samples from SORAMIC study revealed a subset of potential miRNA biomarkers for HCC diagnosis and prognosis of sorafenib-treated patients’ survival.

Identifying the best PCR enzyme for library amplification in NGS.

Background. PCR amplification is a necessary step in many next-generation sequencing (NGS) library preparation methods [1, 2]. Whilst many PCR enzymes are developed to amplify single targets efficiently, accurately and with specificity, few are developed to meet the challenges imposed by NGS PCR, namely unbiased amplification of a wide range of different sizes and GC content. As a result PCR amplification during NGS library prep often results in bias toward GC neutral and smaller fragments. As NGS has matured, optimized NGS library prep kits and polymerase formulations have emerged and in this study we have tested a wide selection of available enzymes for both short-read Illumina library preparation and long fragment amplification ahead of long-read sequencing.We tested over 20 different hi-fidelity PCR enzymes/NGS amplification mixes on a range of Illumina library templates of varying GC content and composition, and find that both yield and genome coverage uniformity characteristics of the commercially available enzymes varied dramatically. Three enzymes Quantabio RepliQa Hifi Toughmix, Watchmaker Library Amplification Hot Start Master Mix (2X) 'Equinox' and Takara Ex Premier were found to give a consistent performance, over all genomes, that mirrored closely that observed for PCR-free datasets. We also test a range of enzymes for long-read sequencing by amplifying size fractionated S. cerevisiae DNA of average size 21.6 and 13.4 kb, respectively.The enzymes of choice for short-read (Illumina) library fragment amplification are Quantabio RepliQa Hifi Toughmix, Watchmaker Library Amplification Hot Start Master Mix (2X) 'Equinox' and Takara Ex Premier, with RepliQa also being the best performing enzyme from the enzymes tested for long fragment amplification prior to long-read sequencing.

Investigation of long non-coding RNAs in extracellular vesicles from low-volume blood serum specimens of colorectal cancer patients.

Colorectal cancer (CRC) is the second most prevalent cancer type worldwide, which highlights the urgent need for non-invasive biomarkers for its early detection and improved prognosis. We aimed to investigate the patterns of long non-coding RNAs (lncRNAs) in small extracellular vesicles (sEVs) collected from low-volume blood serum specimens of CRC patients, focusing on their potential as diagnostic biomarkers. Our research comprised two phases: an initial exploratory phase involving RNA sequencing of sEVs from 76 CRC patients and 29 healthy controls, and a subsequent validation phase with a larger cohort of 159 CRC patients and 138 healthy controls. Techniques such as dynamic light scattering, transmission electron microscopy, and Western blotting were utilized for sEV characterization. Optimized protocol for sEV purification, RNA isolation and preamplification was applied to successfully sequence the RNA content of sEVs and validate the results by RT-qPCR. We successfully isolated sEVs from blood serum and prepared sequencing libraries from a low amount of RNA. High-throughput sequencing identified differential levels of 460 transcripts between CRC patients and healthy controls, including mRNAs, lncRNAs, and pseudogenes, with approximately 20% being lncRNAs, highlighting several tumor-specific lncRNAs that have not been associated with CRC development and progression. The validation phase confirmed the upregulation of three lncRNAs (NALT1, AL096828, and LINC01637) in blood serum of CRC patients. This study not only identified lncRNA profiles in a population of sEVs from low-volume blood serum specimens of CRC patients but also highlights the value of innovative techniques in biomolecular research, particularly for the detection and analysis of low-abundance biomolecules in clinical samples. The identification of specific lncRNAs associated with CRC provides a foundation for future research into their functional roles in cancer development and potential clinical applications.

Abstract 7007: 5hmc-sequencing identifies candidate genes in Puerto Rican Hispanic/Latino men with aggressive prostate cancer

Abstract Introduction: Puerto Rican (PR) Hispanic/Latino (H/L) men are an understudied population which has the highest prostate cancer (PCa) specific mortality when compared with other Hispanic populations. According to the recent PR Cancer Registry data, PCa is the leading cancer type in terms of incidence (38% of all cancer cases) and mortality (16% of all cancer deaths) in PR H/L men. PR H/L men also have significantly higher PCa-specific mortality than non-Hispanic Whites (NHW) and non-Hispanic Blacks (NHB). So far, little is known about higher mortality in PR H/L men. It is believed that epigenetic changes of key genes play a critical role in aggressive tumors. Therefore, our study was aimed to identify key 5-hydroxymethylcytosine (5hmC) changes in PR H/L men with aggressive PCa. Methods: We prepared sequencing libraries using the enriched 5hmC DNA from 42 prostate tumor and 44 adjacent normal FFPE samples. We performed sequencing on an Illumina NextSeq 500 with 75bp single end. We used DESeq2 package to identify differentially methylated genes (DMGs). We also downloaded additional 5hmC data (Database: EGAS00001004942) of 51 localized PCa and 7 adjacent normal for confirmation analysis. We used Gleason score (GS) as a cut-off to identify DMGs in aggressive PCa patients (GS- 7 (3+4) or less, Non-aggressive; GS- 7 (4+3) and above, Aggressive). Results: We identified 808 DMGs in tumors compared to adjacent normal tissues (FDR&amp;lt;0.05, log2FC&amp;gt;|0.4|). Pathway analysis of DMGs demonstrated that cell-cycle, cell division, and DNA repair related pathways were most upregulated in tumors. Since 5hmC abundance is highly correlated with gene expression levels, we further investigated 808 DMGs with TCGA prostate cancer gene expression data. This analysis identified 59/73 DMGs (80.1%, (FDR&amp;lt;0.05, delta&amp;gt;|1|) with significant 5hmC and gene expression changes in the same direction. We also performed differential methylation analysis in another dataset and observed that 129 DMGs were common with our results. Finally, we demonstrated 111 DMGs (p&amp;lt;0.05) in aggressive tumors (n=7) compared to non-aggressive tumors (n=15). These 111 DMGs include important 5hmC hypomethylated genes (BCCIP and KLK10) and hypermethylated genes (COX6C, ARMC2, PVT1) in aggressive PCa patients. Conclusions: Our study identifies 59 genes having coordinated epigenetic and transcriptomic changes in PR H/L men and 111 DMGs in aggressive tumors. The coordinated 59 genes include tumor suppressor genes such as DKK3 and PRDM8 with downregulated 5hmC and gene expression levels. Also, previous studies reported downregulation of BCCIP and KLK10 and upregulation of COX6C, ARMC2, PVT1 expression in PCa. The coordinated changes in 5hmC could be critical in aggressive PCa biology, hence in future, these genes will be validated as candidate biomarkers and targets for aggressive PCa among PR H/L men. Citation Format: Manishkumar S. Patel, Muosa Almubarak, Jaime Matta, Carmen Ortiz-Sánchez, Jarline Encarnacion, Gilberto Ruiz-Deya, Julie Dutil, Jasreman Dhillon, Kosj Yamoah, Anders Berglund, Hyun Park, Liang Wang, Jong Y. Park. 5hmc-sequencing identifies candidate genes in Puerto Rican Hispanic/Latino men with aggressive prostate cancer [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 7007.

Abstract 332: Improved high-throughput genomic analysis of urine samples using pixelated-ultrasound to enable personalized genomic profiling and therapeutic developments in cancer

Abstract Here we address some of the existing challenges in liquid biopsy workflows which can potentially benefit urine analysis from bladder cancer patients because approximately 1/4th of all human cancers are urological tumors. Globally, bladder cancer is the 10th most prevalent, and the 9th cause of mortality due to malignancy. The challenge addressed here is an improvement to sample preparation for sequencing. Among genders and disease states, urine samples vary in terms of cell count and hence, in DNA concentration. Therefore, it is critical to obtain consistent DNA fragments from variable samples across large cohorts of patients so that the sequencing leads to accurate identification of biomarkers of disease risk, progression, and treatment-response. In this direction, we present the advantages of a novel pixelated ultrasound technology which significantly improves sample-preparation in a very fast, economical, and high-throughput manner. Here, DNA is extracted from human urine samples and subjected to sonication to generate fragment sizes. Extracted DNA was loaded onto a regular 96-well round-bottom plate, which is sealed and placed inside the system where 12 columns of the 96-well plate are individually programmed and run simultaneously, hence enabling quick optimization. The system does not require time- and labor-intensive processing of the samples before or after the sonication which is required for other similar technology. Overall, the DNA samples were processed with significant improvement over other similar technology in terms of consistency, speed, and economy. Subsequently, the fragment sizes were analyzed. Analysis of results, as presented in the figures, show that the DNA fragment had the average size as predicted, uniform shearing, and very consistent across the 96-well plate containing different samples with no cross-contamination. The time, labour, expense, and risk turned out to be very low compared to other similar technology. The sizes were appropriate for library preparation and sequencing. The technology works consistently for both low and high cell numbers which is a critical factor for heterogenous samples from patients. In conclusion, the study presents improvements to library preparation for sequencing which fit into the larger workflow of non-invasive liquid biopsy using urine samples. The ability to obtain consistent DNA fragments in a quick and economical manner will greatly enable unique fingerprinting of an individual's cancer or cancer risk across large cohorts, with the potential for integration in automation workflows. Citation Format: Martha Evans-Holm, Nicolai Lumbres, Rwik Sen, Patricia Montilla-Perez, Marc A. Paradise, Peter Lentz. Improved high-throughput genomic analysis of urine samples using pixelated-ultrasound to enable personalized genomic profiling and therapeutic developments in cancer [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 332.

Technical considerations for cost-effective transposon directed insertion-site sequencing (TraDIS)

Transposon directed insertion-site sequencing (TraDIS), a variant of transposon insertion sequencing commonly known as Tn-Seq, is a high-throughput assay that defines essential bacterial genes across diverse growth conditions. However, the variability between laboratory environments often requires laborious, time-consuming modifications to its protocol. In this technical study, we aimed to refine the protocol by identifying key parameters that can impact the complexity of mutant libraries. Firstly, we discovered that adjusting electroporation parameters including transposome concentration, transposome assembly conditions, and cell densities can significantly improve the recovery of viable mutants for different Escherichia coli strains. Secondly, we found that post-electroporation conditions, such as recovery time and the use of different mediums for selecting mutants may also impact the complexity of viable mutants in the library. Finally, we developed a simplified sequencing library preparation workflow based on a Nextera-TruSeq hybrid design where ~ 80% of sequenced reads correspond to transposon-DNA junctions. The technical improvements presented in our study aim to streamline TraDIS protocols, making this powerful technique more accessible for a wider scientific audience.

Icarust, a real-time simulator for Oxford Nanopore adaptive sampling.

Oxford Nanopore Technologies (ONT) sequencers enable real-time generation of sequence data, which allows for concurrent analysis during a run. Adaptive sampling leverages this real-time capability in extremis, rejecting or accepting reads for sequencing based on assessment of the sequence from the start of each read. This functionality is provided by ONT's software, MinKNOW (Oxford Nanopore Technologies). Designing and developing software to take advantage of adaptive sampling can be costly in terms of sequencing consumables, using precious samples and preparing sequencing libraries. MinKNOW addresses this in part by allowing the replay of previously sequenced runs for testing. However, as we show, the sequencing output only partially changes in response to adaptive sampling instructions. Here we present Icarust, a tool enabling more accurate approximations of sequencing runs. Icarust recreates all the required endpoints of MinKNOW to perform adaptive sampling and writes output compatible with current base-callers and analysis pipelines. Icarust serves nanopore signal simulating a MinION or PromethION flow cell experiment from any reference genome using either R9 or R10 pore models. We show that simulating sequencing runs with Icarust provides a realistic testing and development environment for software exploiting the real-time nature of Nanopore sequencing. All code is open source and freely available here-https://github.com/LooseLab/Icarust. Icarust is implemented in Rust, with a docker container also available. The data underlying this article will be shared on reasonable request to the corresponding author.

Implementation of a high-throughput whole genome sequencing approach with the goal of maximizing efficiency and cost effectiveness to improve public health.

Public Health Laboratories that implement whole genome sequencing (WGS) technologies may struggle to find the balance between sample volume and cost effectiveness. We present a method that allows for sequencing of a variety of bacterial isolates in a cost-effective manner. This report provides specific strategies to implement high-volume WGS, including an innovative, low-cost solution utilizing a novel quarter volume sequencing library preparation. The methods described support the use of high-throughput DNA extraction and WGS within budgetary constraints, strengthening public health responses to outbreaks and disease surveillance.