Biology subjects

Shi, J.

Publications and source records attributed to Shi, J..

At least 271 records · Page 15Linked to original sources

bioRxiv2020

ZNF410 uniquely activates the NuRD component CHD4 to silence fetal hemoglobin expression

Metazoan transcription factors typically regulate large numbers of genes. Here we identify via a CRISPR-Cas9 genetic screen ZNF410, a pentadactyl DNA binding protein that in human erythroid cells directly and measurably activates only one gene, the NuRD component CHD4. Specificity is conveyed by two highly evolutionarily conserved clusters of ZNF410 binding sites near the CHD4 gene with no counterparts elsewhere in the genome. Loss of ZNF410 in adult-type human erythroid cell culture systems and xenotransplant settings diminishes CHD4 levels and derepresses the fetal hemoglobin genes. While previously known to be silenced by CHD4, the fetal globin genes are exposed here as among the most sensitive to reduced CHD4 levels. In vitro DNA binding assays and crystallographic studies reveal the ZNF410-DNA binding mode. ZNF410 is a remarkably selective transcriptional activator in erythroid cells whose perturbation might offer new therapeutic opportunities in the treatment of hemoglobinopathies. HighlightsO_LIA CRISPR screen implicates ZNF410 in fetal globin gene repression C_LIO_LIThe CHD4 gene is the singular direct ZNF410 target in erythroid cells C_LIO_LIThe fetal globin genes are exquisitely sensitive to CHD4 levels C_LIO_LIFive C2H2 zinc fingers of ZNF410 recognize the major groove of a 14 base pair sequence C_LI

molecular biology↗

bioRxiv2020

The neurodevelopment of delay discounting for monetary rewards in pre-adolescent children

Children are found to exhibit high degrees of delay discounting compared with adults in many delay discounting studies. However, the temporal dynamics of the differences behind the behaviors are not well known. In this study, we chose two age groups of participants and adopted event-related potential (ERP) techniques to investigate the neural dynamic differences between children and adults during delay discounting processes. Behavioral findings showed that children discounted more than adults and chose more immediate choices. Electrophysiological findings revealed that children exhibited longer neural processing (longer P2 latency) than adults during the early detection and identification phase. Children showed less cognitive control (smaller N2 amplitude) than adults over the middle frontal areas, and they devoted more neural effort (larger P3 amplitudes) to making final choices than adults. The factors of reward amount and time delay could influence the development of delay discounting in male children.

neuroscience↗

bioRxiv2020

A DNA-origami nuclear pore mimic reveals nuclear entry mechanisms of HIV-1 capsid

The capsid of human immunodeficiency virus 1 (HIV-1) plays a pivotal role in viral nuclear import, but the mechanism by which the viral core passages the nuclear pore complex (NPC) is poorly understood. Here, we use DNA-origami mimics of the NPC, termed NuPODs (NucleoPorins Organized by DNA), to reveal the mechanistic underpinnings of HIV-1 capsid nuclear entry. We found that trimeric interface formed via three capsid protein hexamers is targeted by a triple-arginine (RRR) motif but not the canonical phenylalanine-glycine (FG) motif of NUP153. As NUP153 is located on the nuclear face of the NPC, this result implies that the assembled capsid must cross the NPC in vivo. This hypothesis is corroborated by our observations of tubular capsid assemblies penetrating through NUP153 NuPODs. NUP153 prefers to bind highly curved capsid assemblies including those found at the tips of viral cores, thereby facilitating capsid insertion into the NPC. Furthermore, a balance of capsid stabilization by NUP153 and deformation by CPSF6, along with other cellular factors, may allow for the intact capsid to pass NPCs of various sizes. The NuPOD system serves as a unique tool for unraveling the previously elusive mechanisms of nuclear import of HIV-1 and other viruses.

microbiology↗

bioRxiv2020

Calmodulin acts as a state-dependent switch to control a cardiac potassium channel opening

Calmodulin (CaM) and PIP2 are potent regulators of the voltage-gated potassium channel KCNQ1 (KV7.1), which conducts the IKs current important for repolarization of cardiac action potentials. Although cryo-EM structures revealed intricate interactions between the KCNQ1 voltage-sensing domain (VSD), CaM, and PIP2, the functional consequences of these interactions remain unknown. Here, we show that CaM-VSD interactions act as a state-dependent switch to control KCNQ1 pore opening. Combined electrophysiology and molecular dynamics network analysis suggest that VSD transition into the fully-activated state allows PIP2 to compete with CaM for binding to VSD, leading to the conformational change that alters the VSD-pore coupling. We identify a motif in the KCNQ1 cytosolic domain which works downstream of CaM-VSD interactions to facilitate the conformational change. Our findings suggest a gating mechanism that integrates PIP2 and CaM in KCNQ1 voltage-dependent activation, yielding insights into how KCNQ1 gains the phenotypes critical for its function in the heart.Competing Interest StatementJ.S. and J.C. are cofounders of a startup company VivoCor LLC, which is targeting IKs for the treatment of cardiac arrhythmia. The authors declare that they have no other competing interests.View Full Text

biophysics↗

bioRxiv2020

Binding Ability Prediction between Spike Protein and Human ACE2 Reveals the Adaptive Strategy of SARS-CoV-2 in Humans

SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) is a novel coronavirus causing an outbreak of COVID-19 globally in the past six months. A relatively higher divergence on the spike protein of SASR-CoV-2 enables it to transmit across species efficiently. We particularly believe that the adaptive mutations of the receptor-binding domain (RBD) of spike protein in SARS-CoV-2 might be essential to its high transmissibility among humans. Thus here we collected 2,142 high-quality genome sequences of SARS-CoV-2 from 160 regions in over 50 countries and reconstructed their phylogeny, and also analyzed the interaction between the polymorphisms of spike protein and human ACE2 (hACE2). Phylogenetic analysis of SARS-CoV-2 and coronavirus in other hosts show SARS-CoV-2 is highly possible originated from Bat-CoV (RaTG13) found in horseshoe bat and a recombination event may occur on the spike protein of Pangolin-CoV to imbue it the ability to infect humans. Moreover, compared to the S gene of SARS-CoV-2, it is more conserved in the direct-binding sites of RBD and we noticed that spike protein of SARS-CoV-2 may under a consensus evolution to adapt to human hosts better. 3,860 amino acid mutations in spike protein RBD (T333-C525) of SARS-CoV-2 were simulated and their stability and affinity binding to hACE2 (S19-D615) were calculated. Our analysis indicates SARS-CoV-2 could infect humans from different populations with no preference, and a higher divergence in the spike protein of SARS-CoV-2 at the early stage of this pandemic may be a good indicator that could show the pathway of SARS-CoV-2 transmitting from the natural reservoir to human beings.

microbiology↗

bioRxiv2020

A high-quality genome assembly and annotation of the humpback grouper Cromileptes altivelas

Cromileptes altivelas that belongs to Serranidae in the order Perciformes, is widely distributed throughout the tropical waters of the Indo-West Pacific regions. Due to their excellent food quality and abundant nutrients, it has become a popular marine food fish with high market values. Here, we reported a chromosome-level genome assembly and annotation of the humpback grouper genome using more than 103X PacBio long-reads and high-throughput chromosome conformation capture (Hi-C) technologies. The N50 contig length of the assembly is as large as 4.14 Mbp, the final assembly is 1.07 Gb with N50 of scaffold 44.78 Mb, and 99.24% of the scaffold sequences were anchored into 24 chromosomes. The high-quality genome assembly also showed high gene completeness with 27,067 protein coding genes and 3,710 ncRNAs. This high accurate genome assembly and annotation will not only provide an essential genome resource for C. altivelas breeding and restocking, but will also serve as a key resource for studying fish genomics and genetics.

genomics↗

bioRxiv2020

Insight into vaccine development for Alpha-coronaviruses based on structural and immunological analyses of spike proteins

Coronaviruses that infect humans belong to the Alpha-coronavirus (including HCoV-229E) and Beta-coronavirus (including SARS-CoV and SARS-CoV-2) genera. In particular, SARS-CoV-2 is currently a major threat to public health worldwide. However, no commercial vaccines against the coronaviruses that can infect humans are available. The spike (S) homotrimers bind to their receptors through the receptor-binding domain (RBD), which is believed to be a major target to block viral entry. In this study, we selected Alpha-coronavirus (HCoV-229E) and Beta-coronavirus (SARS-CoV and SARS-CoV-2) as models. Their RBDs were observed to adopt two different conformational states (lying or standing). Then, structural and immunological analyses were used to explore differences in the immune response with RBDs among these coronaviruses. Our results showed that more RBD-specific antibodies were induced by the S trimer with the RBD in the "standing" state (SARS-CoV and SARS-CoV-2) than the S trimer with the RBD in the "lying" state (HCoV-229E), and the affinity between the RBD-specific antibodies and S trimer was also higher in the SARS-CoV and SARS-CoV-2. In addition, we found that the ability of the HCoV-229E RBD to induce neutralizing antibodies was much lower and the intact and stable S1 subunit was essential for producing efficient neutralizing antibodies against HCoV-229E. Importantly, our results reveal different vaccine strategies for coronaviruses, and S-trimer is better than RBD as a target for vaccine development in Alpha-coronavirus. Our findings will provide important implications for future development of coronavirus vaccines. ImportanceOutbreak of coronaviruses, especially SARS-CoV-2, poses a serious threat to global public health. Development of vaccines to prevent the coronaviruses that can infect humans has always been a top priority. Coronavirus spike (S) protein is considered as a major target for vaccine development. Currently, structural studies have shown that Alpha-coronavirus (HCoV-229E) and Beta-coronavirus (SARS-CoV and SARS-CoV-2) RBDs are in lying and standing state, respectively. Here, we tested the ability of S-trimer and RBD to induce neutralizing antibodies among these coronaviruses. Our results showed that Beta-CoVs RBDs are in a standing state, and their S proteins can induce more neutralizing antibodies targeting RBD. However, HCoV-229E RBD is in a lying state, and its S protein induces a low level of neutralizing antibody targeting RBD. Our results indicate that Alpha-coronavirus is more conducive to escape host immune recognition, and also provide novel ideas for the development of vaccines targeting S protein.

microbiology↗

bioRxiv2020

In vivo CRISPR screening identifies Fli1 as a transcriptional safeguard that restrains effector CD8 T cell differentiation during infection and cancer

Improving effector activity of antigen specific T cells is a major goal in cancer immunotherapy. Despite the identification of several effector T cell (TEFF)-driving transcription factors (TF), the transcriptional coordination of TEFF biology remains poorly understood. We developed an in vivo T cell CRISPR screening platform and identified a novel mechanism restraining TEFF biology through the ETS family TF, Fli1. Genetic deletion of Fli1 enhanced TEFF responses without compromising memory or exhaustion precursors. Fli1 restrained TEFF lineage differentiation by binding to cis-regulatory elements of effector-associated genes. Loss of Fli1 increased chromatin accessibility at ETS:RUNX motifs allowing more efficient Runx3-driven TEFF biology. CD8 T cells lacking Fli1 provided substantially better protection against multiple infections and tumors. These data indicate that Fli1 safeguards the developing CD8 T cell transcriptional landscape from excessive ETS:RUNX-driven TEFF cell differentiation. Moreover, genetic deletion of Fli1 improves TEFF differentiation and protective immunity in infections and cancer.

immunology↗

bioRxiv2020

Evolutionary Changes in Left-Right Visceral Asymmetry in Astyanax Cavefish

Vertebrates show conserved left-right (L-R) asymmetry of internal organs controlled by Nodal-Pitx2/Lefty signaling [1-3]. Modifications in L-R asymmetry occur in mutants [4] and rarely in humans [5], but little is known about natural L-R changes during evolution. Here we describe changes in L-R asymmetry in Astyanax mexicanus, a teleost with ancestral surface (surface fish) and derived cave (cavefish) morphs [6]. In teleosts, Nodal-Pitx2 signaling is activated in the left lateral plate mesoderm (LPM), the cardiac tube jogs to the left and loops to the right (D-looping), and the liver and pancreas form on opposite sides of the midline. Surface fish show conventional L-R patterning, but cavefish can show Nodal-Pitx2 expression in the right LPM or bilaterally, left (L)-looping hearts, and reversed liver and pancreas asymmetry, and these reversals have no effect on survival. The Lefty1 Nodal antagonist is expressed along the surface fish and cavefish midlines, but expression of the Lefty2 antagonist is absent in the LPM of most cavefish embryos, suggesting a role for lefty2 (lft2) in changing organ asymmetry. Although CRISPR-Cas9 lft2 editing affected D-looping in surface fish, the cavefish lft2 gene showed no coding mutations, and was expressed normally during cavefish gastrulation, suggesting downregulation by regulatory changes. Reciprocal hybridization, the fertilization of cavefish eggs with surface fish sperm and vice versa, indicated that the change in cavefish L-R asymmetry is a maternal genetic effect. Our studies reveal natural changes in internal organ asymmetry during evolution and introduce A. mexicanus as a new model to study the underlying mechanisms.

developmental biology↗

bioRxiv2020

Evidence for unique small RNA modifications in Alzheimers disease

BackgroundWhile significant advances have been made in uncovering the aetiology of Alzheimers disease and related dementias at the genetic level, molecular events at the epigenetic level remain largely undefined. Emerging evidence indicates that small non-coding RNAs (sncRNAs) and their associated RNA modifications are important regulators of complex physiological and pathological processes, including aging, stress responses, and epigenetic inheritance. However, whether small RNAs and their modifications are altered in dementia is not known. MethodsWe performed LC-MS/MS-based, high-throughput assays of small RNA modifications in post-mortem samples of the prefrontal lobe cortices of Alzheimers disease (AD) and control individuals. We noted that some of the AD patients has co-occurring vascular cognitive impairment-related pathology (VaD). FindingsWe report altered small RNA modifications in AD samples compared with normal controls. The 15-25-nucleotide (nt) RNA fraction of these samples was enriched for microRNAs, whereas the 30-40-nt RNA fraction was enriched for tRNA-derived small RNAs (tsRNAs), rRNA-derived small RNAs (rsRNAs), and YRNA-derived small RNAs (ysRNAs). Interestingly, most of these altered RNA modifications were detected both in the AD and AD with co-occurring vascular dementia subjects. In addition, sequencing of small RNA in the 30-40-nt fraction from AD cortices revealed reductions in rsRNA-5S, tsRNA-Tyr, and tsRNA-Arg. InterpretationThese data suggest that sncRNAs and their associated modifications are novel signals that may be linked to the pathogenesis and development of Alzheimers disease. FundingNIH grants (R01HL122770, R01HL091905, 1P20GM130459, R01HD092431, P50HD098593, GM103440), AHA grant (17IRG33370128), Sigmund Gestetner Foundation Fellowship to P Kehoe. Research in ContextO_ST_ABSEvidence before this studyC_ST_ABSAlzheimers disease (AD) and vascular dementia (VaD) are marked by cognitive impairment and neuropathologies caused by significant neuronal death. Associated gene mutations are rare in subjects with dementia, and the aetiology of these diseases is still not completely understood. Recent emerging evidence suggests that epigenetic changes are risk factors for the development of dementia. However, studies assessing small RNA modifications--one of the features of epigenetics--in dementia are lacking. Added value of this studyWe used high-throughput liquid chromatography-tandem mass spectrometry and small RNA sequencing to profile small RNA modifications and the composition of small RNAs in post-mortem samples of the prefrontal cortex of AD and control subjects. We detected and quantified 16 types of RNA modifications and identified distinct small non-coding RNAs and modification signatures in AD subjects compared with controls. Implications of all the available evidenceThis study identified novel types and compositions of small RNA modifications in the prefrontal cortex of AD patients compared with control subjects in post-mortem samples. The cellular locations of these RNA modifications and whether they are drivers or outcomes of AD are still not known. However, results from the present study may open new possibilities for dissecting the dementia pathology.

cell biology↗

bioRxiv2020

Integrated genomics and comprehensive validation reveal novel drivers of genomic evolution in esophageal adenocarcinoma

Identification of genes driving genomic evolution can provide novel targets for cancer treatment and prevention. Here we show identification of a genomic instability gene signature, using an integrated genomics approach. Elevated expression of this signature correlated with poor survival in esophageal adenocarcinoma (EAC) as well as three other human cancers. Knockout and overexpression screens confirmed the relevance of this signature to genomic instability. Indepth evaluation of TTK (a kinase), TPX2 (spindle assembly factor) and RAD54B (recombination protein) further confirmed their role in genomic instability and tumor growth. Mutational signatures identified by whole genome sequencing and functional studies demonstrated that DNA damage and homologous recombination were common mechanisms of genomic instability induced by these genes. Consistently, a TTK inhibitor impaired EAC cell growth in vivo, and increased chemotherapy-induced cytotoxicity while inhibiting genomic instability in surviving cells. Thus inhibitors of TTK and other genes identified in this study have potential to inhibit/delay genomic evolution and tumor growth. Such inhibitors also have potential to increase chemotherapy-induced cytotoxicity while reducing its harmful genomic impact in EAC and possibly other cancers.

cancer biology↗

bioRxiv2020

sTAM: An Online Tool for the Discovery of miRNA-set Level Disease Biomarkers

microRNAs (miRNAs) are one class of important small noncoding RNA molecules, which have shown their excellent ability as biomarkers of various diseases. However, current miRNA biomarkers including those comprised of multiple miRNAs work at a single-miRNA level but not at a miRNA set level. Given the rapidly accumulated miRNA omics data, it is believed that miRNA set level analysis could be an important supplement to the single miRNA level analysis. For doing so, here we presented a computational method for single-sample miRNA set enrichment analysis and developed the sTAM tool (http://mir.rnanut.net/stam). Moreover, we demonstrated the usefulness of sTAM scores in discovering miRNA-set level biomarkers through two case studies. We conducted pan-cancer analysis of the sTAM scores of "tumor suppressor miRNA set" on 15 types of cancers from TCGA and 14 types of cancers from GEO, finding that the scores show a good performance in distinguishing the cancers from the controls. Moreover, we revealed that the sTAM score of "brain development" miRNA set can effectively predict cerebrovascular disorder (CVD). Finally, we believe sTAM can be used in discovering disease-related biomarkers at a miRNA-set level.

bioinformatics↗

bioRxiv2020

Immunoglobulin fragment F(ab')2 against RBD potently neutralizes SARS-CoV-2 in vitro

COVID-19 caused by the emerging human coronavirus, SARS-CoV-2, has become a global pandemic, leading a serious threat to human health. So far, there is none vaccines or specific antiviral drugs approved for that. Therapeutic antibodies for SARS-CoV-2, was obtained from hyper immune equine plasma in this study. Herein, SARS-CoV-2 RBD with gram level were obtained through Chinese hamster ovary cells high-density fermentation. The binding of RBD to SARS-CoV-2 receptor, human ACE2, was verified and the efficacy of RBD in vivo was tested on mice and then on horses. As a result, RBD triggered high-titer neutralizing antibodies in vivo, and immunoglobulin fragment F(ab)2 was prepared from horse antisera through removing Fc. Neutralization test demonstrated that RBD-specific F(ab)2 inhibited SARS-CoV-2 with EC50 at 0.07 g/ml, showing a potent inhibitory effect on SARS-CoV-2. These results highlights as RBD-specific F(ab)2 as therapeutic candidate for SARS-CoV-2.

pharmacology and toxicology↗

bioRxiv2020

KMT2D Links TGF-β Signalling to Non-Canonical Activin Pathway and Regulates Pancreatic Cancer Cell Plasticity

Although KMT2D, also known as MLL2, is known to play an essential role in development, differentiation, and tumor suppression, its role in pancreatic cancer development is not well understood. Here, we discovered a novel signaling axis mediated by KMT2D, which links TGF-{beta} to the activin A pathway. We found that TGF-{beta} upregulates a microRNA, miR-147b, which in turn leads to post-transcriptional silencing of KMT2D. Loss of KMT2D induces the expression and secretion of activin A, which activates a non-canonical p38 MAPK-mediated pathway to modulate cancer cell plasticity, promote a mesenchymal phenotype, and enhance tumor invasion and metastasis in mice. We observed a decreased KMT2D expression in human primary and metastatic pancreatic cancer. Furthermore, inhibition or knockdown of activin A reversed the pro-tumoral role of KMT2D. These findings reveal a tumor-suppressive role of KMT2D and identify miR-147b and activin A as novel therapeutic targets in pancreatic cancer.

cancer biology↗

bioRxiv2020

Loss of Activating Transcription Factor 3 prevents KRAS-mediated pancreatic cancer

The unfolded protein response (UPR) is activated in pancreatic pathologies and suggested as a target for therapeutic intervention. In this study, wxe examined Activating Transcription Factor 3 (ATF3), a mediator of the UPR which promotes acinar-to-ductal metaplasia (ADM) in response to pancreatic injury. Since ADM is an initial step in the progression to pancreatic ductal adenocarcinoma (PDAC), we hypothesized ATF3 is required for initiation and progression of PDAC. We generated mice carrying a germ line mutation of Atf3 (Atf3-/-) combined with acinar-specific induction of oncogenic KRAS (Ptf1acreERT/+KrasLSL-G12D). Atf3-/- mice with (termed APK) and without KRASG12D were exposed to cerulein-induced pancreatitis. In response to recurrent pancreatitis, Atf3-/- mice showed decreased ADM and enhanced regeneration based on morphological and biochemical analysis. Similarly, an absence of ATF3 reduced spontaneous pancreatic intraepithelial neoplasia formation and PDAC in Ptf1acreERT/+KrasLSL-G12D mice. In response to injury, KRASG12D bipassed the requirement for ATF3 with a dramatic loss in acinar tissue and PanIN formation observed regardless of ATF3 status. However, unlike Ptf1acreERT/+KrasLSL-G12D mice, APK mice exhibited a cachexia-like phenotype, did not progress through to PDAC, and showed altered pancreatic fibrosis and immune cell infiltration. These findings suggest a complex, multifaceted role for ATF3 in pancreatic cancer pathology.

cancer biology↗

bioRxiv2020

Ab-Ligity: Identifying sequence-dissimilar antibodies that bind to the same epitope

Solving the structure of an antibody-antigen complex gives atomic level information of the interactions between an antibody and its antigen, but such structures are expensive and hard to obtain. Alternative experimental sources include epitope mapping and binning experiments which can be used as a surrogate to identify key interacting residues. However, their resolution is usually not sufficient to identify if two antibodies have identical interactions. Computational approaches to this problem have so far been based on the premise that antibodies with similar sequences behave similarly. Such approaches will fail to identify sequence-distant antibodies that target the same epitope. We present Ab-Ligity, a structure-based similarity measure tailored to antibody-antigen interfaces. Using predicted paratopes on model antibody structures, we assessed its ability to identify those antibodies that target highly similar epitopes. Most antibodies adopting similar binding modes can be identified from sequence similarity alone, using methods such as clonotyping. In the challenging subset of antibodies whose sequences differ significantly, Ab-Ligity is still able to predict antibodies that would bind to highly similar epitopes (precision of 0.95 and recall of 0.69). We compared Ab-Ligitys performance to an existing tool for comparing general protein interfaces, InterComp, and showed improved performance on antibody cases alongside a significant speed-up. These results suggest that Ab-Ligity will allow the identification of diverse (sequence-dissimilar) antibodies that bind to the same epitopes from large datasets such as immune repertoires. The tool is available at http://opig.stats.ox.ac.uk/resources.

bioinformatics↗

bioRxiv2020

Evidence of Antibody Repertoire Functional Convergence through Public Baseline and Shared Response Structures

The antibody repertoires of different individuals ought to exhibit significant functional commonality, given that most pathogens trigger a successful immune response in most people. Sequence-based approaches have so far offered little evidence for this phenomenon. For example, a recent study estimated the number of shared ( public) antibody clonotypes in circulating baseline repertoires to be around 0.02% across ten unrelated individuals. However, to engage the same epitope, antibodies only require a similar binding site structure and the presence of key paratope interactions, which can occur even when their sequences are dissimilar. Here, we investigate functional convergence in human antibody repertoires by comparing the anti-body structures they contain. We first structurally profile base-line antibody diversity (using snapshots from 41 unrelated individuals), predicting all modellable distinct structures within each repertoire. This analysis uncovers a high (much greater than random) degree of structural commonality. For instance, around 3% of distinct structures are common to the ten most diverse individual samples ( Public Baseline structures). Our approach is the first computational method to provide support for the long-assumed levels of baseline repertoire functional commonality. We then apply the same structural profiling approach to repertoire snapshots from three individuals before and after flu vaccination, detecting a convergent structural drift indicative of recognising similar epitopes ( Public Response structures). Antibody Model Libraries derived from Public Baseline and Public Response structures represent a powerful geometric basis set of low-immunogenicity candidates exploitable for general or target-focused therapeutic antibody screening.

immunology↗

bioRxiv2020

Cellular heterogeneity-adjusted clonal methylation (CHALM) provides better prediction of gene expression

Promoter DNA methylation is a well-established mechanism of transcription repression, but its global correlation with gene expression is surprisingly weak. This weak correlation is due in part to the failure of current methylation quantification methods to consider the heterogeneity among sequenced bulk cells. Here, we introduce Cell Heterogeneity-Adjusted cLonal Methylation (CHALM) as a novel methylation quantification method. CHALM better explains the functional consequences of DNA methylation, such as its correlations with gene expression and H3K4me3. When applied to different methylation datasets, the CHALM method has uniquely detected differentially methylated genes that exhibit distinct biological functions supporting underlying mechanisms.

bioinformatics↗