cometadata/datacite-titles-descriptions-related-identifiers huggingface dataset:
DOI: 10.6084/m9.figshare.21196420.v1
title: Prenatal lead (Pb) exposure is associated with differential placental DNA methylation and hydroxymethylation in a human population

description: Prenatal lead (Pb) exposure is associated with adverse developmental outcomes and to epigenetic alterations such as DNA methylation and hydroxymethylation in animal models and in newborn blood. Given the importance of the placenta in foetal development, we sought to examine how prenatal Pb exposure was associated with differential placental DNA methylation and hydroxymethylation and to identify affected biological pathways linked to developmental outcomes. Maternal (n = 167) and infant (n = 172) toenail and placenta (n = 115) samples for prenatal Pb exposure were obtained from participants in a US birth cohort, and methylation and hydroxymethylation data were quantified using the Illumina Infinium MethylationEPIC BeadChip. An epigenome-wide association study was applied to identify differential methylation and hydroxymethylation associated with Pb exposure. Biological functions of the Pb-associated genes were determined by overrepresentation analysis through ConsensusPathDB. Prenatal Pb quantified from maternal toenail, infant toenail, and placenta was associated with 480, 27, and 2 differentially methylated sites (q &lt; 0.05), respectively, with both increases and decreases associated with exposure. Alternatively, we identified 2, 1, and 14 differentially hydroxymethylated site(s) associated with maternal toenail, infant toenail, and placental Pb, respectively, with most showing increases in hydroxymethylation with exposure. Significantly overrepresented pathways amongst genes associated with differential methylation and hydroxymethylation (q &lt; 0.10) included mechanisms pertaining to nervous system and organ development, calcium transport and regulation, and signalling activities. Our results suggest that both methylation and hydroxymethylation in the placenta can be variable based on Pb exposure and that the pathways impacted could affect placental function.
DOI: 10.6084/m9.figshare.20523820.v1
title: Gestational diabetes mellitus placentas exhibit epimutations at placental development genes

description: Gestational diabetes mellitus (GDM) is a maternal metabolic disorder that perturbs placental development and increases the risk of offspring short- and long-term metabolic disorders. The mechanisms by which GDM impairs placental development remain poorly understood. Here, we defined the DNA methylome of GDM placentas and determined whether GDM perturbs methylation at genes important for placental development. We conducted an epigenome-wide association study of 42 placentas from pregnancies in the South African Soweto First 1000 days cohort (S1000). Using genome-wide bisulfite sequencing, we compared non-GDM placentas to GDM placentas with similar proportions from obese and non-obese mothers. Compared to non-GDM, GDM placentas exhibited a distinct methylation profile consisting of 12,210 differentially methylated CpGs (DMCs) that mapped to 3,875 genes. Epigenetically altered genes were enriched in Wnt and cadherin signalling pathways, both critical in placentation and embryogenesis. We also defined regional DNA methylation perturbation in GDM placentas at 11 placental development genes. These findings reveal extensive changes to the placental epigenome of GDM pregnancies and highlight perturbation enriched at important placental development genes. These molecular changes represent potential mechanisms for GDM-induced placental effects that may serve as candidate biomarkers for placental, maternal, and foetal health. Using a study design that used similar proportions of obese and non-obese mothers in our case and control pregnancies, we minimized the detection of changes due to obesity alone. Further work will be necessary to investigate the extent of the influence of obesity on these GDM-related placental epigenetic changes.
DOI: 10.6084/m9.figshare.20746016
title: CircCLTH promotes skeletal muscle development and regeneration

description: Buffalo holds an excellent potential for beef production, and circRNA plays an important role in regulating myogenesis. However, the regulatory mechanism of circRNAs during buffalo skeletal muscle development has not been fully explored. In this study, circRNA expression profiles during the proliferation and differentiation stages of buffalo myoblasts were analysed by RNA-seq. Here, a total of 3,142 circRNAs candidates were identified, and 110 of them were found to be differentially expressed in the proliferation and differentiation stages of buffalo myoblast libraries. We focused on a 347 nt circRNA subsequently named circCLTH. It consists of three exons and is expressed specifically in muscle tissues. It is a highly conserved non-coding RNA with about 95% homology to both the human and the mouse circRNAs. The results of cell experiments and RNA pull-down assays indicated that circCLTH may capture PLEC protein, promote the proliferation and differentiation of myoblasts as well as inhibit apoptosis. Overexpression of circCLTH <i>in vivo</i> suggests that circCLTH is involved in the stimulation of skeletal muscle regeneration. In conclusion, we identified a novel noncoding regulator, circCLTH, that promotes proliferation and differentiation of myoblasts and skeletal muscles. A new highly conserved circRNA was identified during muscle developmentCircCLTH promotes proliferation and differentiation of myoblastsCircCLTH promoted muscle damage repair in miceCircCLTH may target the PLEC protein A new highly conserved circRNA was identified during muscle development CircCLTH promotes proliferation and differentiation of myoblasts CircCLTH promoted muscle damage repair in mice CircCLTH may target the PLEC protein
DOI: 10.6084/m9.figshare.20746016.v1
title: CircCLTH promotes skeletal muscle development and regeneration

description: Buffalo holds an excellent potential for beef production, and circRNA plays an important role in regulating myogenesis. However, the regulatory mechanism of circRNAs during buffalo skeletal muscle development has not been fully explored. In this study, circRNA expression profiles during the proliferation and differentiation stages of buffalo myoblasts were analysed by RNA-seq. Here, a total of 3,142 circRNAs candidates were identified, and 110 of them were found to be differentially expressed in the proliferation and differentiation stages of buffalo myoblast libraries. We focused on a 347 nt circRNA subsequently named circCLTH. It consists of three exons and is expressed specifically in muscle tissues. It is a highly conserved non-coding RNA with about 95% homology to both the human and the mouse circRNAs. The results of cell experiments and RNA pull-down assays indicated that circCLTH may capture PLEC protein, promote the proliferation and differentiation of myoblasts as well as inhibit apoptosis. Overexpression of circCLTH <i>in vivo</i> suggests that circCLTH is involved in the stimulation of skeletal muscle regeneration. In conclusion, we identified a novel noncoding regulator, circCLTH, that promotes proliferation and differentiation of myoblasts and skeletal muscles. A new highly conserved circRNA was identified during muscle developmentCircCLTH promotes proliferation and differentiation of myoblastsCircCLTH promoted muscle damage repair in miceCircCLTH may target the PLEC protein A new highly conserved circRNA was identified during muscle development CircCLTH promotes proliferation and differentiation of myoblasts CircCLTH promoted muscle damage repair in mice CircCLTH may target the PLEC protein
DOI: 10.6084/m9.figshare.20410682
title: Genome wide exploration of the methylome in aggressive B-cell lymphoma in Golden Retrievers reveals a conserved hypermethylome

description: Few recurrent DNA mutations are seen in aggressive canine B cell lymphomas (cBCL), suggesting other frequent drivers. The methylated island recovery assay (MIRA-seq) or methylated CpG-binding domain sequencing (MBD-seq) was used to define the genome-wide methylation profiles in aggressive cBCL in Golden Retrievers to determine if cBCL can be better defined by epigenetic changes than by DNA mutations. DNA hypermethylation patterns were relatively homogenous within cBCL samples in Golden Retrievers, in different breeds and in geographical regions. Aberrant hypermethylation is thus suspected to be a central and early event in cBCL lymphomagenesis. Distinct subgroups within cBCL in Golden Retrievers were not identified with DNA methylation profiles. In comparison, the methylome profile of human DLBCL (hDLBCL) is relatively heterogeneous. Only moderate similarity between hDLBCL and cBCL was seen and cBCL likely cannot be accurately classified into the subtypes seen in hDLBCL. Genes with hypermethylated regions in the promoter-TSS-first exon of cBCL compared to normal B cells often also had additional hyper- and hypomethylated regions distributed throughout the gene suggesting non-randomized repeat targeting of key genes by epigenetic mechanisms. The prevalence of hypermethylation in transcription factor families in aggressive cBCL may represent a fundamental step in lymphomagenesis.
DOI: 10.6084/m9.figshare.20410682.v1
title: Genome wide exploration of the methylome in aggressive B-cell lymphoma in Golden Retrievers reveals a conserved hypermethylome

description: Few recurrent DNA mutations are seen in aggressive canine B cell lymphomas (cBCL), suggesting other frequent drivers. The methylated island recovery assay (MIRA-seq) or methylated CpG-binding domain sequencing (MBD-seq) was used to define the genome-wide methylation profiles in aggressive cBCL in Golden Retrievers to determine if cBCL can be better defined by epigenetic changes than by DNA mutations. DNA hypermethylation patterns were relatively homogenous within cBCL samples in Golden Retrievers, in different breeds and in geographical regions. Aberrant hypermethylation is thus suspected to be a central and early event in cBCL lymphomagenesis. Distinct subgroups within cBCL in Golden Retrievers were not identified with DNA methylation profiles. In comparison, the methylome profile of human DLBCL (hDLBCL) is relatively heterogeneous. Only moderate similarity between hDLBCL and cBCL was seen and cBCL likely cannot be accurately classified into the subtypes seen in hDLBCL. Genes with hypermethylated regions in the promoter-TSS-first exon of cBCL compared to normal B cells often also had additional hyper- and hypomethylated regions distributed throughout the gene suggesting non-randomized repeat targeting of key genes by epigenetic mechanisms. The prevalence of hypermethylation in transcription factor families in aggressive cBCL may represent a fundamental step in lymphomagenesis.
DOI: 10.6084/m9.figshare.20584229
title: Context-dependent CpG methylation directs cell-specific binding of transcription factor ZBTB38

description: DNA methylation on CpGs regulates transcription in mammals, both by decreasing the binding of methylation-repelled factors and by increasing the binding of methylation-attracted factors. Among the latter, zinc finger proteins have the potential to bind methylated CpGs in a sequence-specific context. The protein ZBTB38 is unique in that it has two independent sets of zinc fingers, which recognize two different methylated consensus sequences <i>in vitro</i>. Here, we identify the binding sites of ZBTB38 in a human cell line, and show that they contain the two methylated consensus sequences identified <i>in vitro</i>. In addition, we show that the distribution of ZBTB38 sites is highly unusual: while 10% of the ZBTB38 sites are also bound by CTCF, the other 90% of sites reside in closed chromatin and are not bound by any of the other factors mapped in our model cell line. Finally, a third of ZBTB38 sites are found upstream of long and active CpG islands. Our work therefore validates ZBTB38 as a methyl-DNA binder <i>in vivo</i> and identifies its unique distribution in the genome.
DOI: 10.6084/m9.figshare.20584229.v1
title: Context-dependent CpG methylation directs cell-specific binding of transcription factor ZBTB38

description: DNA methylation on CpGs regulates transcription in mammals, both by decreasing the binding of methylation-repelled factors and by increasing the binding of methylation-attracted factors. Among the latter, zinc finger proteins have the potential to bind methylated CpGs in a sequence-specific context. The protein ZBTB38 is unique in that it has two independent sets of zinc fingers, which recognize two different methylated consensus sequences <i>in vitro</i>. Here, we identify the binding sites of ZBTB38 in a human cell line, and show that they contain the two methylated consensus sequences identified <i>in vitro</i>. In addition, we show that the distribution of ZBTB38 sites is highly unusual: while 10% of the ZBTB38 sites are also bound by CTCF, the other 90% of sites reside in closed chromatin and are not bound by any of the other factors mapped in our model cell line. Finally, a third of ZBTB38 sites are found upstream of long and active CpG islands. Our work therefore validates ZBTB38 as a methyl-DNA binder <i>in vivo</i> and identifies its unique distribution in the genome.
DOI: 10.6084/m9.figshare.21533103
title: Improving Infinium MethylationEPIC data processing: re-annotation of enhancers and long noncoding RNA genes and benchmarking of normalization methods

description: Illumina Infinium DNA Methylation (5mC) arrays are a popular technology for low-cost, high-throughput, genome-scale measurement of 5mC distribution, especially in cancer and other complex diseases. After the success of its HumanMethylation450 array (450k), Illumina released the MethylationEPIC array (850k) featuring increased coverage of enhancers. Despite the widespread use of 850k, analysis of the corresponding data remains suboptimal: it still relies mostly on Illumina’s default annotation, which underestimates enhancerss and long noncoding RNAs. Results: We have thus developed an approach, based on the ENCODE and LNCipedia databases, which greatly improves upon Illumina’s default annotation of enhancers and long noncoding transcripts. We compared the re-annotated 850k with both 450k and reduced-representation bisulphite sequencing (RRBS), another high-throughput 5mC profiling technology. We found 850k to cover at least three times as many enhancers and long noncoding RNAs as either 450k or RRBS. We further investigated the reproducibility of the three technologies, applying various normalization methods to the 850k data. Most of these methods reduced variability to a level below that of RRBS data. We then used 850k with our new annotation and normalization to profile 5mC changes in breast cancer biopsies. 850k highlighted aberrant enhancer methylation as the predominant feature, in agreement with previous reports. Our study provides an updated processing approach for 850k data, based on refined probe annotation and normalization, allowing for improved analysis of methylation at enhancers and long noncoding RNA genes. Our findings will help to further advance understanding of the DNA methylome in health and disease.
DOI: 10.6084/m9.figshare.21533103.v1
title: Improving Infinium MethylationEPIC data processing: re-annotation of enhancers and long noncoding RNA genes and benchmarking of normalization methods

description: Illumina Infinium DNA Methylation (5mC) arrays are a popular technology for low-cost, high-throughput, genome-scale measurement of 5mC distribution, especially in cancer and other complex diseases. After the success of its HumanMethylation450 array (450k), Illumina released the MethylationEPIC array (850k) featuring increased coverage of enhancers. Despite the widespread use of 850k, analysis of the corresponding data remains suboptimal: it still relies mostly on Illumina’s default annotation, which underestimates enhancerss and long noncoding RNAs. Results: We have thus developed an approach, based on the ENCODE and LNCipedia databases, which greatly improves upon Illumina’s default annotation of enhancers and long noncoding transcripts. We compared the re-annotated 850k with both 450k and reduced-representation bisulphite sequencing (RRBS), another high-throughput 5mC profiling technology. We found 850k to cover at least three times as many enhancers and long noncoding RNAs as either 450k or RRBS. We further investigated the reproducibility of the three technologies, applying various normalization methods to the 850k data. Most of these methods reduced variability to a level below that of RRBS data. We then used 850k with our new annotation and normalization to profile 5mC changes in breast cancer biopsies. 850k highlighted aberrant enhancer methylation as the predominant feature, in agreement with previous reports. Our study provides an updated processing approach for 850k data, based on refined probe annotation and normalization, allowing for improved analysis of methylation at enhancers and long noncoding RNA genes. Our findings will help to further advance understanding of the DNA methylome in health and disease.
DOI: 10.6084/m9.figshare.20140609
title: Long-range chromosomal interactions increase and mark repressed gene expression during adipogenesis

description: Obesity perturbs central functions of human adipose tissue, centred on differentiation of preadipocytes to adipocytes, i.e., adipogenesis. The large environmental component of obesity makes it important to elucidate epigenetic regulatory factors impacting adipogenesis. Promoter Capture Hi-C (pCHi-C) has been used to identify chromosomal interactions between promoters and associated regulatory elements. However, long range interactions (LRIs) greater than 1 Mb are often filtered out of pCHi-C datasets, due to technical challenges and their low prevalence. To elucidate the unknown role of LRIs in adipogenesis, we investigated preadipocyte differentiation to adipocytes using pCHi-C and bulk and single nucleus RNA-seq data. We first show that LRIs are reproducible between biological replicates, and they increase &gt;2-fold in frequency across adipogenesis. We further demonstrate that genomic loci containing LRIs are more epigenetically repressed than regions without LRIs, corresponding to lower gene expression in the LRI regions. Accordingly, as preadipocytes differentiate into adipocytes, LRI regions are more likely to contain repressed preadipocyte marker genes; whereas these same LRI regions are depleted of actively expressed adipocyte marker genes. Finally, we show that LRIs can be used to restrict multiple testing of the long-range <i>cis-</i>eQTL analysis to identify variants that regulate genes via LRIs. We exemplify this by identifying a putative long range <i>cis</i> regulatory mechanism at the <i>LYPLAL1</i>/<i>TGFB2</i> obesity locus. In summary, we identify LRIs that mark repressed regions of the genome, and these interactions increase across adipogenesis, pinpointing developmental regions that need to be repressed in a cell-type specific way for adipogenesis to proceed.
DOI: 10.6084/m9.figshare.20140609.v1
title: Long-range chromosomal interactions increase and mark repressed gene expression during adipogenesis

description: Obesity perturbs central functions of human adipose tissue, centred on differentiation of preadipocytes to adipocytes, i.e., adipogenesis. The large environmental component of obesity makes it important to elucidate epigenetic regulatory factors impacting adipogenesis. Promoter Capture Hi-C (pCHi-C) has been used to identify chromosomal interactions between promoters and associated regulatory elements. However, long range interactions (LRIs) greater than 1 Mb are often filtered out of pCHi-C datasets, due to technical challenges and their low prevalence. To elucidate the unknown role of LRIs in adipogenesis, we investigated preadipocyte differentiation to adipocytes using pCHi-C and bulk and single nucleus RNA-seq data. We first show that LRIs are reproducible between biological replicates, and they increase &gt;2-fold in frequency across adipogenesis. We further demonstrate that genomic loci containing LRIs are more epigenetically repressed than regions without LRIs, corresponding to lower gene expression in the LRI regions. Accordingly, as preadipocytes differentiate into adipocytes, LRI regions are more likely to contain repressed preadipocyte marker genes; whereas these same LRI regions are depleted of actively expressed adipocyte marker genes. Finally, we show that LRIs can be used to restrict multiple testing of the long-range <i>cis-</i>eQTL analysis to identify variants that regulate genes via LRIs. We exemplify this by identifying a putative long range <i>cis</i> regulatory mechanism at the <i>LYPLAL1</i>/<i>TGFB2</i> obesity locus. In summary, we identify LRIs that mark repressed regions of the genome, and these interactions increase across adipogenesis, pinpointing developmental regions that need to be repressed in a cell-type specific way for adipogenesis to proceed.
DOI: 10.6084/m9.figshare.20510041
title: Polymethylation scores for prenatal maternal smoke exposure persist until age 15 and are detected in saliva in the Fragile Families and Child Wellbeing cohort

description: Prenatal maternal smoking is associated with low birthweight, neurological disorders, and asthma in exposed children. DNA methylation signatures can function as biomarkers of prenatal smoke exposure. However, the robustness of DNA methylation signatures across child ages, genetic ancestry groups, or tissues is not clear. Using coefficients from a meta-analysis of prenatal smoke exposure and DNA methylation in newborn cord blood, we created polymethylation scores of saliva DNA methylation from children at ages 9 and 15 in the Fragile Families and Child Wellbeing study. In the full sample at age 9 (n = 753), prenatal smoke exposure was associated with a 0.51 (95%CI: 0.35, 0.66) standard deviation higher polymethylation score. The direction and magnitude of the association was consistent in European and African genetic ancestry samples. In the full sample at age 15 (n = 747), prenatal smoke exposure was associated with a 0.48 (95%CI: 0.32, 0.63) standard deviation higher polymethylation score, and the association was attenuated among the European and Admixed–Latin genetic ancestry samples. The polymethylation score classified prenatal smoke exposure accurately (AUC age 9 = 0.77, age 15 = 0.76). Including the polymethylation score increased the AUC of base model covariates by 5 (95% CI: (2.1, 7.2)) percentage points, while including a single candidate site in the <i>AHRR</i> gene did not (<i>P</i>-value = 0.19). Polymethylation scores for prenatal smoking were portable across genetic ancestries and more accurate than an individual DNA methylation site. Polymethylation scores from saliva samples could serve as robust and practical biomarkers of prenatal smoke exposure.