Biology subjects

Liu, Z.

Publications and source records attributed to Liu, Z..

At least 613 records · Page 34Linked to original sources

bioRxiv2023

MicroRNA-122-mediated liver detargeting enhances the tissue specificity of cardiac genome editing

BackgroundThe cardiac troponin T (Tnnt2) promoter is broadly utilized for cardiac specific gene expression, particularly via adeno-associated virus (AAV)-based gene transfer. However, these vectors drive lower-level ectopic gene expression in other tissues, most notably in the liver. Whether the AAV-Tnnt2 vectors remain tissue-specific in applications sensitive to low or transient gene expression, such as gene editing, remains unclear. MethodsThe tissue specificity of AAV9-Tnnt2 vectors was evaluated in mice using Cre-LoxP-based fluorescence reporters and CRISPR/Cas9-mediated somatic mutagenesis. CRISPR/Cas9-triggered AAV integration into host genome was further assessed by quantitative PCR. ResultsIn mice treated with AAV-Tnnt2-GFP, GFP signal was specifically observed in the heart by confocal imaging. However, when AAV-Tnnt2-Cre was administered to mice carrying LoxP-STOP-LoxP fluorescence reporters, the reporter signals were observed in up to 50% hepatic cells. Similarly, the AAV-Tnnt2-SaCas9 vector extensively edited the hepatic genome as measured by targeted amplicon-sequencing. Cas9-triggered AAV integration into the host genome was also validated in the liver. Inclusion of target sequences for microRNA-122, a highly expressed, liver-specific microRNA, in the AAV transgenes 3 untranslated region (3 UTR) markedly reduced ectopic transgene expression, genome editing and AAV integration in the liver. ConclusionsThe heavily used AAV-Tnnt2 system exhibits liver leakiness that severely impairs the cardiac specificity of AAV-based genetic manipulation. This problem can be mitigated via miR122-mediated liver detargeting.

physiology↗

bioRxiv2023

Establishment of a novel non-integrated human pluripotent stem cell-based gastruloid model

Embryo loss and pregnancy disorders are prevalent worldwide, with both conditions critically associated with dysfunctioning gastrulation processes. Gastrulation and post-gastrulation organogenesis are crucial stages of embryonic development that establish the blueprint for body part formation. These processes involve the sequential generation of three germ layer cells and primordial germ cells, as well as the assembly of the precursor tissues for body parts. However, due to ethical limitations associated with studying human embryogenesis, a more detailed understanding of gastrulation and post-gastrulation organogenesis remains elusive. To ensure that the knowledge obtained from gastruloids is biologically meaningful and clinically relevant, it is critical to create high-fidelity human embryo models that closely mimic embryogenesis in vivo. Here, we developed a two-stage derivation gastruloids in vitro based on human pluripotent stem cells. Morphological tracking mimicks the developmental processes of models from Carnegie Stage 4 (CS4) to early CS7. Our gastruloids exhibit key structures characteristic of human embryos, including amniotic cavity, embryonic disc, primitive streak, primary yolk sac, secondary yolk sac, and blood islets. Comparison of our cell lineage development maps showed that gastruloids closely resembled human natural CS7 gastrula. Our gastruloids exhibited transcriptional characteristics that mimicked the molecular pathways observed in natural embryos development. Importantly, we found that in our model, extraembryonic mesoderm originates from the yolk sac and primordial germ cells originate from the posterior epiblast of the embryonic disc. Moreover, we found that thalidomide affects the differentiation of three germ layer cells, resulting in the arrest of human gastruloid development. In conclusion, by establishing a human gastruloid, we were able to gain valuable insights into the mechanisms responsible for human gastrulation and shed light on the causes of early embryo loss and pregnancy disorders.

developmental biology↗

bioRxiv2023

Cardiomyocytes Deficiency of SENP1 Promotes Myocardial Fibrosis via Paracrine Action

BackgroundSENP1 (Sentrin-specific protease 1) is involved in heart disease by regulating intracellular SUMOylation. However, the role of cell type-specific SENP1 in the setting of myocardial infarction (MI) remains to be defined. We determined whether cardiomyocyte-specific SENP1 regulates maladaptive remodeling in the ischemic heart. MethodsWe generated cardiomyocyte-specific SENP1 knockout and overexpression mice to assess cardiac function and ventricular remodeling responses under physiological and pathological conditions. Adult mouse cardiomyocytes and fibroblasts were separated to observe the paracrine effects of cardiomyocytes. DIA proteomic assay and bioinformatic analysis were performed to detect differential proteins in primary cardiomyocytes. Single-cell sequencing data were analyzed to identify key cardiomyocyte cluster regulated by SENP1 after MI. Mass spectrometry was performed to search for key effector proteins regulated by SENP1. ResultsSENP1 expression reduced in post-infarction mice and patients with heart failure. Cardiomyocyte-specific SENP1 deficiency (genetic or adeno-associated virus (AAV)-mediated) triggered a myocardial fibrotic response and progressive cardiac dysfunction. MI exacerbated the poor ventricular remodeling response mediated by SENP1 deletion, SENP1 overexpression improved cardiac function and reduced fibrosis. Further, we found that increased cardiac fibrosis in the cardiomyocyte-specific SENP1 deletion mice, associated with increased Fn expression and secretion in cardiomyocytes, promoted fibroblast activation in response to myocardial injury. Mechanistically, SENP promoted deSUMOylation of the HSP90ab1 (heat shock protein 90 alpha, class B, member 1) Lys72 and ubiquitin-dependent degradation, which reduced HSP90ab1-mediated phosphorylation of STAT3 (signal transducer and activator of transcription 3) and transcriptional activation of Fn, and then reduced fibroblast activation in the indirect coculture model. On the other hand, AAV-mediated mutation of the HSP90ab1 Lys72 ameliorated adverse ventricular remodeling and dysfunction post-MI. ConclusionsSENP1 is essential for repressing STAT3-mediated Fn transcription by regulating deSUMOylation of HSP90ab1. Blockade of HSP90ab1 SUMOylation at the Lys72 site is a novel therapy effective in reversing adverse ventricular remodeling post-MI. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=151 SRC="FIGDIR/small/546019v1_ufig1.gif" ALT="Figure 1"> View larger version (40K): org.highwire.dtl.DTLVardef@18199c9org.highwire.dtl.DTLVardef@1976105org.highwire.dtl.DTLVardef@162c56borg.highwire.dtl.DTLVardef@18f1d8b_HPS_FORMAT_FIGEXP M_FIG C_FIG

pathology↗

bioRxiv2023

Deciphering the genetic interactions between Pou4f3, Gfi1 and Rbm24 in maintaining cochlear hair cell survival

Mammals harbor a limited number of sound-receptor hair cells (HCs) that cannot be regenerated after damage. Thus, investigating the underlying molecular mechanisms that maintain HC survival is crucial for preventing hearing impairment. Intriguingly, Pou4f3-/- or Gfi1-/-HCs form initially but then rapidly degenerate, whereas Rbm24-/-HCs degenerate considerably later. However, the transcriptional cascades involving Pou4f3, Gfi1, and Rbm24 remains undescribed. Here, we demonstrate that Rbm24 expression is completely repressed in Pou4f3-/- HCs but unaltered in Gfi1-/- HCs, and further that the expression of both POU4F3 and GFI1 is intact in Rbm24-/- HCs. Moreover, by using in vivo mouse transgenic reporter assays, we identify three Rbm24 enhancers to which POU4F3 binds. Lastly, through in vivo genetic testing of whether Rbm24 restoration alleviates the degeneration of Pou4f3-/-HCs, we show that ectopic Rbm24 alone cannot prevent Pou4f3-/-HCs from degenerating. Collectively, our findings provide new molecular and genetic insights into how HC survival is regulated.

developmental biology↗

bioRxiv2023

Determination of Accumulation of Molecules in Escherichia coli

Gram-negative bacterial pathogens pose a significant challenge in drug development due to their outer membranes, which hinder the permeation of small molecules. The lack of widely adoptable methods to measure the cytosolic accumulation of compounds in bacterial cells has hindered drug discovery efforts. To address this challenge, we developed the CHloroalkane Azide Membrane Permeability (CHAMP) assay, specifically designed to assess molecule accumulation in the cytosol of Gram-negative bacteria. The CHAMP analysis utilizes biorthogonal epitopes anchored within HaloTag-expressing bacteria and measures the cytosolic arrival of azide-bearing test molecules through strain-promoted azide-alkyne cycloaddition. This workflow allows for robust and rapid accumulation measurements of thousands of azide-tagged small molecules. Our approach consistently produces comprehensive accumulation profiles, significantly surpassing the scale of previous measurements in Escherichia coli (E. coli). We have validated the CHAMP assay across various chemical and biological contexts, including hyperporinated cells, membrane-permeabilized cells, and E. coli strains with impaired TolC function, a key component of the efflux pump. The CHAMP platform provides a simple, high-throughput, and accessible method that enables the analysis of over 1,000 molecules within hours. This technique addresses a critical gap in antimicrobial research and has the potential to accelerate the development of effective agents against Gram-negative pathogens.

microbiology↗

bioRxiv2023

Temporal Changes in The Proanthocyanidins to Anthocyanins Ratio During Dormancy Associate with Bloom Time Variations in Peach

This study provides a thorough exploration of the mechanisms regulating the onset of flowering in peach trees, a process principally governed by bud-dormancy. We applied untargeted metabolomics combined with a comprehensive series of molecular and biochemical experiments to scrutinize the variations in bloom times among different peach cultivars. The impact of exogenous chemical stimuli, specifically ethephon (ET) and abscisic acid (ABA), on bloom times was also evaluated. Our study revealed that the ET-induced delay in bloom time was associated with higher levels of proanthocyanidin (PA) compared to anthocyanins (ACNs) during endodormancy. Furthermore, fluctuations in the PA/ACNs ratio during dormancy demonstrated a strong correlation with the chill requirements and bloom dates of 12 distinct peach genotypes. The research further uncovers the crucial role of ABA in regulating the biosynthesis of PAs and ACNs during peach tree dormancy. Intriguingly, the exogenous application of ABA during endodormancy resulted in a reduction of PA content, leading to an earlier bloom time. We also observed variations in DAM gene expression between early- and late-blooming cultivars. The late-blooming cultivars exhibited higher transcript levels of DAM genes, elevated PA levels, and lower ABA levels compared to their early-blooming counterparts. Importantly, our study proposes PAs and ACNs as quantitative marker metabolites for endo- and ecodormancy phases. This innovative finding paves the way for developing more accurate chill and heat requirement models, thereby enabling a more precise understanding and projection of the impacts of global climate change on the phenology of tree fruit species.

developmental biology↗

bioRxiv2023

Zfp697 is an RNA-binding protein that regulates skeletal muscle inflammation and regeneration.

Muscular atrophy is a mortality risk factor that happens with disuse, chronic disease, and aging. Recovery from atrophy requires changes in several cell types including muscle fibers, and satellite and immune cells. Here we show that Zfp697/ZNF697 is a damage-induced regulator of muscle regeneration, during which its expression is transiently elevated. Conversely, sustained Zfp697 expression in mouse muscle leads to a gene expression signature of chemokine secretion, immune cell recruitment, and extracellular matrix remodeling. Myofiber-specific Zfp697 ablation hinders the inflammatory and regenerative response to muscle injury, compromising functional recovery. We uncover Zfp697 as an essential interferon gamma mediator in muscle cells, interacting primarily with ncRNAs such as the pro-regenerative miR-206. In sum, we identify Zfp697 as an integrator of cell-cell communication necessary for tissue regeneration. One Sentence SummaryZfp697 is necessary for interferon gamma signaling and muscle regeneration.

physiology↗

bioRxiv2023

HES1 and ID3 temporally regulate p27 levels and endothelial cell flow-mediated quiescence depth

BackgroundEndothelial cells regulate their cell cycle as blood vessels remodel and transition to quiescence downstream of blood flow-induced mechanotransduction. Laminar blood flow leads to quiescence, but how flow-mediated quiescence is established and maintained is poorly understood. MethodsPrimary human endothelial cells were exposed to laminar flow regimens and gene expression manipulations, and quiescence depth was analyzed via time to cell cycle re-entry after flow cessation. Mouse and zebrafish endothelial expression patterns were examined via scRNA seq analysis, and mutant or morphant fish lacking p27 were analyzed for endothelial cell cycle regulation and in vivo cellular behaviors. ResultsArterial flow-exposed endothelial cells had a distinct transcriptome, and they first entered a deep quiescence, then transitioned to shallow quiescence under homeostatic maintenance conditions. In contrast, venous-flow exposed endothelial cells entered deep quiescence early that did not change with homeostasis. The cell cycle inhibitor p27 (CDKN1B) was required to establish endothelial flow-mediated quiescence, and expression levels positively correlated with quiescence depth. p27 loss in vivo led to endothelial cell cycle upregulation and ectopic sprouting, consistent with loss of quiescence. HES1 and ID3, transcriptional repressors of p27 upregulated by arterial flow, were required for quiescence depth changes and the reduced p27 levels associated with shallow quiescence. ConclusionsEndothelial cell flow-mediated quiescence has unique properties and temporal regulation of quiescence depth that depends on the flow stimulus. These findings are consistent with a model whereby flow-mediated endothelial cell quiescence depth is temporally regulated downstream of p27 transcriptional regulation by HES1 and ID3. The findings are important in understanding endothelial cell quiescence mis-regulation that leads to vascular dysfunction and disease. GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=197 SRC="FIGDIR/small/544403v2_ufig1.gif" ALT="Figure 1"> View larger version (43K): org.highwire.dtl.DTLVardef@1137a1forg.highwire.dtl.DTLVardef@1b6bf1dorg.highwire.dtl.DTLVardef@bd4965org.highwire.dtl.DTLVardef@11dbb9b_HPS_FORMAT_FIGEXP M_FIG C_FIG HIGHLIGHTSO_LIDifferent quiescence stimuli lead to distinct transcriptional and functional quiescence profiles in endothelial cells C_LIO_LIp27 is required for endothelial cell quiescence and depth is temporally regulated in a flow stimulus-dependent manner that correlates with p27 levels and flow-regulated repressors HES1 and ID3 C_LIO_LIp27 is expressed in endothelial cells according to flow magnitude in vivo and is functionally required for cell cycle regulation and sprouting in vivo C_LI

cell biology↗

bioRxiv2023

dsRID: Editing-free in silico identification of dsRNA region using long-read RNA-seq data

Double-stranded RNAs (dsRNAs) are potent triggers of innate immune responses upon recognition by cytosolic dsRNA sensor proteins. Identification of endogenous dsRNAs helps to better understand the dsRNAome and its relevance to innate immunity related to human diseases. Here, we report dsRID (double-stranded RNA identifier), a machine learning-based method to predict dsRNA regions in silico, leveraging the power of long-read RNA-sequencing (RNA-seq) and molecular traits of dsRNAs. Using models trained with PacBio long-read RNA-seq data derived from Alzheimers disease (AD) brain, we show that our approach is highly accurate in predicting dsRNA regions in multiple datasets. Applied to an AD cohort sequenced by the ENCODE consortium, we characterize the global dsRNA profile with potentially distinct expression patterns between AD and controls. Together, we show that dsRID provides an effective approach to capture global dsRNA profiles using long-read RNA-seq data.

bioinformatics↗

bioRxiv2023

Persistent biofluid small molecule alterations induced by Trypanosoma cruzi infection are not restored by antiparasitic treatment

Table of contents graphic O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=105 SRC="FIGDIR/small/543565v1_figu1.gif" ALT="Figure 1"> View larger version (25K): org.highwire.dtl.DTLVardef@10c3a0aorg.highwire.dtl.DTLVardef@1b69d6dorg.highwire.dtl.DTLVardef@199867org.highwire.dtl.DTLVardef@64b20b_HPS_FORMAT_FIGEXP M_FIG C_FIG Chagas Disease (CD), caused by Trypanosoma cruzi (T. cruzi) protozoa, is a complicated parasitic illness with inadequate medical measures for diagnosing infection and monitoring treatment success. To address this gap, we analyzed changes in the metabolome of T. cruzi-infected mice via liquid chromatography tandem mass spectrometry analysis of clinically-accessible biofluids: saliva, urine, and plasma. Urine was the most indicative of infection status, across mouse and parasite genotypes. Metabolites perturbed by infection in the urine include kynurenate, acylcarnitines, and threonylcarbamoyladenosine. Based on these results, we sought to implement urine as a tool for assessment of CD treatment success. Strikingly, it was found that mice with parasite clearance following benznidazole antiparasitic treatment had comparable overall urine metabolome to mice that failed to clear parasites. These results match with clinical trial data in which benznidazole treatment did not improve patient outcomes in late-stage disease. Overall, this study provides insights into new small molecule-based CD diagnostic methods and a new approach to assess functional treatment response.

microbiology↗

bioRxiv2023

Droplet-based bisulfite sequencing for high-throughput profiling of single-cell DNA methylomes

Genome-wide DNA methylation profile, or DNA methylome, is a critical component of the overall epigenomic landscape that modulates gene activities and cell fate. Single-cell DNA methylomic studies offer unprecedented resolution for detecting and profiling cell subsets based on methylomic features. However, existing single-cell methylomic technologies are all based on use of tubes or well plates and these platforms are not easily scalable for handling a large number of single cells. Here we demonstrate a droplet-based microfluidic technology, Drop-BS, to construct single-cell bisulfite sequencing libraries for DNA methylome profiling. Drop-BS takes advantage of the ultrahigh throughput offered by droplet microfluidics to prepare bisulfite sequencing libraries of up to 10,000 single cells within 2 d. We applied the technology to profile mixed cell lines, mouse and human brain tissues to reveal cell type heterogeneity. Drop-BS will pave the way for single-cell methylomic studies requiring examination of a large cell population.

genomics↗

bioRxiv2023

Modeling kidney development, disease, and plasticity with clonal expandable nephron progenitor cells and nephron organoids

Nephron progenitor cells (NPCs) self-renew and differentiate into nephrons, the functional units of the kidney. Here we report manipulation of p38 and YAP activity creates a synthetic niche that allows the long-term clonal expansion of primary mouse and human NPCs, and induced NPCs (iNPCs) from human pluripotent stem cells. Cultured iNPCs resemble closely primary human NPCs, generating nephron organoids with abundant distal convoluted tubule cells, which are not observed in published kidney organoids. The synthetic niche reprograms differentiated nephron cells into NPC state, recapitulating the plasticity of developing nephron in vivo. Scalability and ease of genome-editing in the cultured NPCs allow for genome-wide CRISPR screening, identi-fying novel genes associated with kidney development and disease. A rapid, efficient, and scala-ble organoid model for polycystic kidney disease was derived directly from genome-edited NPCs, and validated in drug screen. These technological platforms have broad applications to kidney development, disease, plasticity, and regeneration.

developmental biology↗

bioRxiv2023

Disease associated human TCR characterization by deep-learning framework TCR-DeepInsight

T cell function is defined by both T cell receptors (TCR) and T cell gene expression (GEX). Although single-cell technology enables the simultaneous capture of TCR and GEX information, the lack of a reference atlas and computational tools hinders our ability to uncover the fundamental TCR usage rules and to efficiently characterize disease-associated TCRs (dTCR). Here, through the collection of million-scale single-cell GEX-TCR reference atlas comprising 20 diverse disease conditions, we revealed the intrinsic features of TCR-MHC (Major Histocompatibility Complex) restriction in CD4/CD8 lineages. We observed the higher coherence for TCR/{beta} chains in memory T cells, and detected widely-existing public TCR/{beta} pairs across individuals. Building upon the reference atlas, we introduced TCR- DeepInsight, a deep-learning framework featuring a disease specificity scoring system that enables the characterization of dTCR clusters with similar GEX-TCR. Our study provides a valuable tool for researchers to analyze single-cell GEX-TCR data and identify dTCRs comprehensively and robustly.

bioinformatics↗

bioRxiv2023

Leading Basic Modes of Spontaneous Activity Drive Individual Functional Connectivity Organization in the Resting Human Brain

Spontaneous activity of the human brain provides a window to explore intrinsic principles of functional organization. However, most studies have focused on interregional functional connectivity. The principles underlying rich repertoires of instantaneous activity remain largely unknown. We apply a novel eigen-microstate analysis to three resting-state functional MRI datasets to identify basic modes that represent fundamental activity patterns that coexist over time. We identify a few (i.e., five) leading basic modes that dominate activity fluctuations. Each of these modes exhibits a distinct functional system-dependent coactivation pattern and corresponds to specific cognitive profiles. In particular, the spatial pattern of the first leading basis mode shows the separation of activity between the default-mode and primary and attention regions. We further reconstruct individual functional connectivity as the weighted contribution of these leading basic modes based on theoretical modelling. Moreover, these leading basic modes capture sleep deprivation-induced changes in brain activity and interregional connectivity, primarily involving the default-mode and task-positive regions. Our findings reveal a dominant set of basic modes of spontaneous activity that reflect multiplexed interregional coordination and drive conventional functional connectivity, furthering the understanding of the functional significance of spontaneous brain activity.

neuroscience↗

bioRxiv2023

A chromatinized origin reduces ORC mobility and spatially constrains MCM

Chromatin replication involves the assembly and activity of the replisome within the nucleosomal landscape. At the core of the replisome is the Mcm2-7 complex (MCM), which is loaded onto DNA after binding to the Origin Recognition Complex (ORC). In yeast, ORC is a dynamic protein that diffuses rapidly along DNA, unless halted by origin recognition sequences. However, less is known about the dynamics of ORC proteins in the presence of nucleosomes and attendant consequences for MCM loading. To address this, we harnessed an in vitro single-molecule approach to interrogate a chromatinized origin of replication. We find that ORC binds the origin of replication with similar efficiency independently of whether the origin is chromatinized, despite ORC mobility being reduced by the presence of nucleosomes. Recruitment of MCM also proceeds efficiently on a chromatinized origin, but subsequent movement of MCM away from the origin is severely constrained. These findings suggest that chromatinized origins in yeast are essential for the local retention of MCM, which may facilitate subsequent assembly of the replisome.

biophysics↗

bioRxiv2023

Long-read sequencing reveals extensive DNA methylations in human gut phagenome contributed by prevalently phage-encoded methyltransferases

DNA methylation is essential for the survival of bacteriophages (phages), yet, we know little about the methylation of their genomes. Here, we analyze the DNA methylation patterns of 8,848 metagenome-assembled high-quality phages across 104 fecal samples using single-molecule real-time (SMRT) sequencing. We show that 97.60% of gut phages could be methylated, and reveal factors that correlate with methylation densities. Phages having higher methylation densities are more prevent, suggesting putative viability advantages of the DNA methylation. Strikingly, more than a third of the phages encode their own DNA methyltransferases (MTases). More MTase copies are associated with increased genome methylation densities, methylation motifs, and higher prevalence of certain phage groups. Most MTases are closely homologous to gut bacterium-encoded ones, likely exchanged during phage-bacterium interactions, and could be used to accurately predict phage-host relationships. Taken together, our results suggest that the gut DNA phages universally use DNA methylation to escape from host defense systems with significant contribution from phage-encoded MTases.

bioinformatics↗

bioRxiv2023

Bearskin2 mediates the coordinated secretion of xylogalacturonan and root cap polygalacturonase in Arabidopsis border-like cells

Border-like cells (BLCs) are sheets of cells that are continuously sloughed off and replenished at the Arabidopsis root cap surface. ROOT CAP POLYGALACTURONASE (RCPG) encodes a putative pectinase involved in BLC shedding. Xylogalacturonan (XGA) is a pectic polysaccharide whose synthesis is associated with cell detachment and secreted separately from other cell wall polysaccharides. BEARSKIN1 (BRN1) and BRN2 are Arabidopsis NAC family transcription factors, and RCPG expression is inhibited in brn1/2. To explore the link between XGA and RCPG, we examined XGA synthesis in Arabidopsis lines with altered RCPG levels. We found that RCPG was contained in XGA-carrying vesicles budding from the trans-Golgi, but XGA synthesis was not affected in the rcpg mutant. XGA was absent in BLCs of brn2, but not of brn1, indicating that BRN2 is necessary for XGA synthesis. Overexpression of functional RCPG-GFP (oeRCPG-GFP) caused upregulation of BRN2, ectopic XGA synthesis, overaccumulation of endogenous RCPG, and accelerated BLC turnover, suggesting a positive regulatory loop between RCPG and BRN2. Inactivation of BRN2 in oeRCPG-GFP suppressed RCPG-GFP expression, excess RCPG, and XGA synthesis. Our data provide evidence that XGA and RCPG are secreted together and that BRN2 controls XGA synthesis, which facilitates RCPG export and BLC separation.

cell biology↗

bioRxiv2023

RealSeq2: a software integrated with UMI identification, error correction, and methylation modifications storing

High-throughput UMI technology sequencing is widely used in early tumor screening, detection, recurrence monitoring, etc. Detecting extremely low-frequency mutations is especially important for monitoring tumor recurrence, so high-precision data, as well as high-quality data, are required. We developed RealSeq2, a new integrated data-preprocessing software based on fastp and gencore, to achieve adapter removal, quality control, UMI identification, and generate consensus reads by clustering and error correction using multithreading in high-throughput next-generation sequencing background. RealSeq2 also supports methylation data of 5-methylcytosine bisulfite-free sequencing. RealSeq2 defined a new tag in SAM for storing methylation information, which is beneficial for co-identifying methylation sites and mutation sites for downstream analysis. RealSeq2 includes three submodules: ReadsProfiler, ReadsCleaner, and ReadsRecycler. In addition, the output format file (BAM or SAM) is universal for downstream analyses. RealSeq2 is the preferred upstream analysis software for the co-detection of ultra-low frequency mutations and bisulfite-free methylation data. The error profile provides data support for downstream analysis. Additionally, XM tags will become a standard protocol for recording methylation signals.

bioinformatics↗