Simon Andrews’s research while affiliated with Babraham Institute and other places

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Publications (242)


TrAEL-seq captures DNA replication dynamics in mammalian cells
  • Preprint
  • File available

June 2025

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11 Reads

Neesha Kara

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Laura Biggins

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Vera Grinkevich

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[...]

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Precise DNA replication is critical to the maintenance of genome stability, and the DNA replication machinery is a focal point of many current and upcoming chemotherapeutics. TrAEL-seq is a robust method for profiling DNA replication genome-wide that works in unsynchronised cells and does not require treatment with drugs or nucleotide analogues. Here, we provide an updated method for TrAEL-seq including multiplexing of up to 6 samples that dramatically improves sample quality and throughput, and we validate TrAEL-seq in multiple mammalian cell lines. The updated protocol is straightforward and robust yet provides excellent resolution comparable to OK-seq in mammalian cell samples. High resolution replication profiles can be obtained across large panels of samples and in dynamic systems, for example during the progressive onset of oncogene induced senescence. In addition to mapping zones where replication initiates and terminates, TrAEL-seq is sensitive to replication fork speed, revealing effects of both transcription and proximity to replication Initiation Zones on fork progression. Although forks move more slowly through transcribed regions, this does not have a significant impact on the broader dynamics of replication fork progression, which is dominated by rapid fork movement in long replication regions (>1Mb). Short and long replication regions are not intrinsically different, and instead replication forks accelerate across the first ~1 Mb of travel such that forks progress faster in the middle of regions lying between widely spaced Initiation Zones. We propose that this is a natural consequence of fewer replication forks being active later in S phase when these distal regions are replicated and there being less competition for replication factors.

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a Experimental design. GV oocytes were isolated from WT, Het, and Nlrp2-null females. Each library (biological replicate) was prepared from a pool of 60–80 GV oocytes isolated from both ovaries of one female. b Follicle distribution in ovaries from WT, Het, and Nlrp2-null mice at P24. We counted five biological replicates of follicles in both ovaries per genotype. Follicle distributions are represented as percentages of total follicular counts (*** = p < 0.001, ** = p < 0.01, * = p < 0.05). c Hematoxylin and eosin (H&E) staining of ovarian sections from wild-type (WT), heterozygous (Het), and Nlrp2-null mice. Ovaries from Het and Nlrp2-null mice exhibit a significant reduction in secondary, antral, and ovulatory follicles compared to WT. Additionally, Het and Nlrp2-null ovaries show an increase in atretic follicles relative to WT (P: Primary, S: Secondary, An: Antral, O: Ovulatory, Ar: Atretic). d Expression levels of Nlrp2 in GV oocytes by locus-specific qRT-PCR. Gene expression was normalized to oocyte housekeeping gene Rpl19.(* = p < 0.05, **** = p < 0.0001)
a Box plot of overall CpG methylation levels for each genotype. The mean CpG methylation levels for each oocyte pool (represented by dots) and the median for each group are indicated. b, c Violin plots of methylation levels of promoters (b) and gene bodies (c). Analysis was performed on 3 WT, 4 Het, and 4 Nlrp2-null oocyte pools. d Heatmap of methylation levels of maternal and paternal gDMRs in 3 WT, 4 Het, and 4 Nlrp2-null oocyte pools (0–100 represents % methylation). e Methylation levels of oocyte-specific CGIs in WT, Het, and Nlrp2-null oocyte pools. Box plots show median (center line), upper and lower quartiles (box limits), 1.5X interquartile range (whiskers), and outliers (points). f Violin plot of genome-wide DNA methylation in 100-CpG tiles on selected pools of 3 WT, 4 Het, and 4 Nlrp2-null oocytes. These libraries exhibit the expected highly bimodal pattern, but with more variability in Het and Nlrp2-null oocyte pools
a Heatmap of distribution of HyperDs and HypoDs: HyperDs (upper cluster) and HypoDs (lower cluster) of selected oocyte pools (right 11 lanes) compared to granulosa cells (three left lanes) are shown. (0–100 scale represents relative methylation levels.) b Doughnut graphs of maintained and lost HyperDs and HypoDs in Het and Nlrp2-null oocyte pools. Each donut represents the 71,941 analyzed domains in this comparison. Colors and numbers indicate maintained domains (sum of dark and light blue), lost HyperDs (dark green), and lost HypoDs (light green) in Het (left) and Nlrp2-null (right) oocytes
Scatterplots of average methylation values of 10 Kb tiles: (a) Comparison between Het (n = 4) and WT oocyte pools (n = 3), and (b)Nlrp2-null (n = 4) and WT oocyte pools (n = 3). Each dot is one tile. Red is hypermethylated in Het or Nlrp2-null and blue is hypomethylated in Het or Nlrp2-null compared to WT oocytes. c Circos graph comparing genome-wide methylation levels in Nlrp2-null versus WT and Het versus WT oocytes by chromosome. From outer to inner circle: Chromosomes number and size, G-banding pattern, 87 common DMRs, all informative tiles in Nlrp2-null versus WT in light blue, a brush indicating occupancy of DMRs out of all informative tiles in black, the 2300 DMRs identified in Nlrp2-null versus WT in brown to green, a brush indicating the occupancy of DMRs out of all informative tiles in black, the 977 DMRs identified in Het versus WT in brown to green, all informative tiles in Het versus WT in light blue (Brown to green represents low to high methylation differences). d Venn diagram of the number of unique and common DMRs between Nlrp2-null versus WT (green) and Het versus WT (pink) comparison
a Correlation matrix for GV oocyte RNA-seq libraries. This heatmap shows the pairwise Euclidean distances between RNA-seq libraries after applying a variance stabilizing transformation (VST) to the gene count data. Each cell corresponds to the calculated distance between two RNA-seq libraries, providing a visual representation of library similarity, where a value of 1 is an ideal correlation. b PCA Plot of Genotype Clustering. Dots in the plot represent an RNA-seq library colored by genotype (WT: blue, Nlrp2-null: green). The two genotypes exhibit clear separation along the principal components. X-axis: Principal Component (PC) 1 and Y-axis: PC2. c Box plot showing total number of expressed genes in oocytes from WT and Nlrp2-null. The mean number of expressed genes for each library (represented by dots) and the median for each group are indicated (* = p < 0.05)

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Maternal loss of mouse Nlrp2 alters the transcriptome and DNA methylome in GV oocytes and impairs zygotic genome activation in embryos

June 2025

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25 Reads

Clinical Epigenetics

Background NLRP2 is a subcortical maternal complex (SCMC) protein of mammalian oocytes and preimplantation embryos. SCMC proteins are encoded by maternal effect genes and play a pivotal role in the maternal-to-zygotic transition (MZT), early embryogenesis, and epigenetic (re)programming. Maternal inactivation of genes encoding SCMC proteins has been linked to infertility and subfertility in mice and humans, but the underlying molecular mechanisms for the diverse functions of SCMC proteins, and specifically the role of NLRP2, are incompletely understood. Results We profiled the DNA methylome of pre-ovulatory germinal-vesicle (GV) oocytes from Nlrp2-null, heterozygous (Het), and wild-type (WT) female mice and assessed the transcriptome of GV oocytes and 2-cell embryos from WT and Nlrp2-null females. The absence or reduction of NLRP2 did not alter the distinctive global DNA methylation landscape of GV oocytes, including their unique bimodal methylome patterns and methylation at the germline differentially methylated regions (gDMRs) of imprinted genes. However, altered methylation was observed in a small subset of oocyte-characteristic hyper- and hypomethylated domains and within a minor fraction of genomic regions, particularly in Nlrp2-null oocytes. Transcriptome profiling revealed substantial differences between the Nlrp2-null and WT GV oocytes, including deregulation of many crucial factors involved in oocyte transcriptome modulation and epigenetic reprogramming. Moreover, maternal absence of NLRP2 significantly altered the transcriptome of heterozygous embryos from Nlrp2-null females compared to WT embryos, whereas the transcriptome of heterozygous embryos from Nlrp2-null males was not significantly different from that of WT embryos. Maternal absence of NLRP2 also negatively impacted MZT, as evidenced by the deregulation of a large subset of zygotic genome activation (ZGA)-related genes. Conclusions This study demonstrates that NLRP2 is essential for shaping the transcriptome of GV oocytes and preimplantation embryos. Maternal loss of Nlrp2 negatively impacts ZGA. Our findings that the DNA methylome of Het and Nlrp2-null oocytes was subtly changed, and that gene-body DNA methylation differences did not correlate with gene expression differences, suggest that posttranscriptional changes in transcript stability, rather than altered transcription itself, are primarily responsible for the changed transcriptome of Nlrp2-null oocytes.


Figure 1. CDR3 sequence structure and overall VDJ productivity, reading-frames and stop-codons.
Figure 2. Selection of VH genes and families, JH and particular CDR3 amino-acids, in the VDJ repertoire over the pre-B
Figure 4. Selection and counter-selection of productive VDJ over the pre-B transition
Figure 5. Location and frequency of use of VH-replacement donor and recipient VH
VH-replacement shapes the antibody repertoire by targeting non-pairing heavy-chains

April 2025

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7 Reads

The diversity of antibodies underpins robust immune responses. During the formation of the antibody repertoire in early bone marrow B-cells, random antibody heavy-chain proteins are generated from recombined V, D and J gene-segments. Many are non-functional and are negatively selected. Critically, this phase of development is impacted by ageing and inflammation. To understand this process in normal mice we have undertaken the first in-depth analysis of heavy-chain selection at this stage called the pre-B cell transition. We find independent selection acting on three regions of the CDR3 antigen binding site, with particularly heavy counter-selection of certain productive VH/JH combinations. This led us to hypothesise that VH-replacement is targeting productive VDJ rearrangements that cannot pair with the surrogate light-chain (SLC). We detect VH-replacement recombination products that closely follow the pattern of counter-selection of productive VDJ. This reveals a physiological role for VH-replacement: the developmental release of B-cells that are stalled, with a productive but not SLC-pairing VDJ, leading to re-modelling of the early VDJ repertoire toward locus-distal VH that we show are more tolerant of CDR3 composition.



RNA helicase DDX1 regulates germinal centre selection and affinity maturation by promoting tRNA ligase activity

January 2025

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17 Reads

Clonal expansion of antigen-specific B-cells defines effective germinal centre responses and is key for the generation of high-affinity antibodies. While positive selection in germinal centres has been associated with anabolic metabolism and cell growth, the downstream drivers of B-cell proliferation are not well understood. Here we report that the RNA helicase DDX1 is required for germinal centre maturation and accrual of dark-zone cellularity. Upon interaction with T-follicular helper cells, DDX1-deficient B-cells upregulate c-MYC but do not clonally expand. We show that positive selection is coupled with an increase in mRNA translation, that is dependent on DDX1. DDX1 endows B-cells with the protein biosynthetic capability that is required for rapid cell proliferation. It does so by modulating the activity of the tRNA ligase complex and tRNA splicing. Our data reveal that mRNA translation efficiency is a key determinant of B-cell fitness during germinal centre responses.


Whole Genome Methylation Sequencing via Enzymatic Conversion (EM-seq): Protocol, Data Processing, and Analysis

November 2024

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9 Reads

Methods in molecular biology (Clifton, N.J.)

Whole genome bisulfite sequencing (WGBS) has been the gold standard technique for base resolution analysis of DNA methylation for the last 15 years. It has been, however, associated with technical biases, which lead to overall overestimation of global and regional methylation values, and significant artifacts in extreme cytosine-rich DNA sequence contexts. Enzymatic conversion of cytosine is the newest approach, set to replace entirely the use of the damaging bisulfite conversion of DNA. The EM-seq technique utilizes TET2, T4-BGT, and APOBEC in a two-step conversion process, where the modified cytosines are first protected by oxidation and glucosylation, followed by deamination of all unmodified cytosines to uracil. As a result, EM-seq is degradation-free and bias-free, requires low DNA input, and produces high library yields with longer reads, little batch variation, less duplication, uniform genomic coverage, accurate methylation over a larger number of captured CpGs, and no sequence-specific artifacts.


Protein degradation shapes developmental tempo in mouse and human neural progenitors

August 2024

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34 Reads

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2 Citations

The speed of embryonic development varies considerably between mammalian species, yet the underlying molecular mechanisms remain poorly understood. To investigate the basis for species-specific developmental tempo we performed a comprehensive comparative analysis of protein dynamics in mouse and human neural progenitors (NPs). Through a combination of targeted protein labelling, quantitative mass spectrometry, and functional genomics, we demonstrate that protein degradation is a key driver of tempo differences between mouse and human NPs. We observe a systematic 1.5-fold increase in protein half-lives in human NPs compared to mouse, independent of cellular compartment or protein function. This difference persists in post-mitotic neurons, indicating active degradation as the primary mechanism. Proteasomal activity is also ~1.5-fold higher in mouse NPs, consistent with upregulation of proteasome-associated proteins. Importantly, increasing the rate of proteolytic degradation of a key transcriptional repressor in neural progenitors accelerates the expression of its target gene. Despite differences in degradation rates, protein synthesis rates are similar between species, resulting in higher protein content in human NPs. Our findings highlight the central role of protein degradation in controlling developmental tempo and provide insight into the molecular basis of evolutionary changes in developmental timing across species.


The receptor protein tyrosine phosphatase PTPRK promotes intestinal repair and catalysis-independent tumor suppression

June 2024

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11 Reads

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2 Citations

Journal of Cell Science

PTPRK is a receptor tyrosine phosphatase linked to the regulation of growth factor signalling and tumour suppression. It is stabilized at the plasma membrane by trans homophilic interactions upon cell-cell contact. It regulates cell-cell adhesion, but is also reported to regulate numerous cancer-associated signalling pathways. However, its signalling mechanism remains to be determined. Here, we find that PTPRK regulates cell adhesion signalling, suppresses invasion and promotes collective, directed migration in colorectal cancer cells. In vivo, PTPRK supports recovery from inflammation-induced colitis. In addition, we confirm that PTPRK functions as a tumour suppressor in the mouse colon and in colorectal cancer xenografts. PTPRK regulates growth factor and adhesion signalling, and suppresses epithelial to mesenchymal transition (EMT). Contrary to the prevailing notion that PTPRK directly dephosphorylates EGFR, we find that PTPRK regulation of both EGFR and EMT is independent of its catalytic function. This suggests that additional adaptor and scaffold functions are important features of PTPRK signalling.



Maternal loss-of-function of Nlrp2 results in failure of epigenetic reprogramming in mouse oocytes

May 2024

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89 Reads

Background: NLRP2 belongs to the subcortical maternal complex (SCMC) of mammalian oocytes and preimplantation embryos. This multiprotein complex, encoded by maternal-effect genes, plays a pivotal role in the zygote-to-embryo transition, early embryogenesis, and epigenetic (re)programming. The maternal inactivation of genes encoding SCMC proteins has been linked to infertility and subfertility in mice and humans. However, the underlying molecular mechanisms for the diverse functions of the SCMC, particularly how this cytoplasmic structure influences DNA methylation, which is a nuclear process, are not fully understood. Results: We undertook joint transcriptome and DNA methylome profiling of pre-ovulatory germinal-vesicle oocytes from Nlrp2-null, heterozygous (Het), and wild-type (WT) female mice. We identified numerous differentially expressed genes (DEGs) in Het and Nlrp2-null when compared to WT oocytes. The genes for several crucial factors involved in oocyte transcriptome modulation and epigenetic reprogramming, such as DNMT1, UHRF1, KDM1B and ZFP57 were overexpressed in Het and Nlrp2-null oocytes. Absence or reduction of Nlrp2, did not alter the distinctive global DNA methylation landscape of oocytes, including the bimodal pattern of the oocyte methylome. Additionally, although the methylation profile of germline differentially methylated regions (gDMRs) of imprinted genes was preserved in oocytes of Het and Nlrp2-null mice, we found altered methylation in oocytes of both genotypes at a small percentage of the oocyte-characteristic hyper- and hypomethylated domains. Through a tiling approach, we identified specific DNA methylation differences between the genotypes, with approximately 1.3% of examined tiles exhibiting differential methylation in Het and Nlrp2-null compared to WT oocytes. Conclusions: Surprisingly, considering the well-known correlation between transcription and DNA methylation in developing oocytes, we observed no correlation between gene expression differences and gene-body DNA methylation differences in Nlrp2-null versus WT oocytes or Het versus WT oocytes. We therefore conclude that post-transcriptional changes in the stability of transcripts rather than altered transcription is primarily responsible for transcriptome differences in Nlrp2-null and Het oocytes.


Citations (56)


... A recent study reveals that CTBs exhibit 20 %-60 % of methylated regions classified as PMDs; however, hTSCs lack PMDs and display a significantly lower overall DNA methylation level compared to CTBs. Overexpression of DNMT3L in hTSCs restores their PMDs level to those observed in CTBs, but compromised the ability to differentiate in organoid culture [87]. Thus, DNMT3L-regulated PMDs may play an important role in modulating trophoblast differentiation. ...

Reference:

Molecular Regulation and Functional Benefits of Trophoblast Syncytialization in Optimizing Maternal-Fetal Nutrient Allocation
Ectopic expression of DNMT3L in human trophoblast stem cells restores features of the placental methylome
  • Citing Article
  • February 2025

Cell Stem Cell

... We hypothesize that the low organelle activity in human oocytes reflects a lower metabolic rate, possibly to prevent the accumulation of damaged intracellular components 32 . Intriguingly, this links our findings to the emerging field of developmental tempo regulation, which has identified slower protein degradation as a hallmark of human development compared to faster-developing species [33][34][35] . Our results extend this concept by showing that reduced protein turnover is already established at the oocyte stage in humans and may persist into embryogenesis. ...

Protein degradation shapes developmental tempo in mouse and human neural progenitors

... Gut microbiota have been widely recognized for their critical roles in regulating Treg development. Compared to germ-free mice, specific pathogen-free (SPF) mice exhibit higher Treg populations across multiple tissues [16]. Gut-derived bacteria signals modulate Treg differentiation through various mechanisms, including microbial metabolites [17], dendritic cell modulation [18], and bacterial cell-wall components [19]. ...

The tissue-resident regulatory T cell pool is shaped by transient multi-tissue migration and a conserved residency program
  • Citing Article
  • June 2024

Immunity

... In particular, variants in genes encoding the subcortical maternal complex (SCMC) members were described in healthy women with offspring affected by BWS and other ImpDis with MLID (5). The SCMC is a multi-protein complex that stores proteins in oocytes that are needed for development and epigenetic reprogramming of the preimplantation embryo (7,8). The clinical impact of MLID is still unde ned, but increased recurrence risk and association with reproductive problems have been reported in cases with SCMC gene variants (4,9). ...

A maternal-effect Padi6 variant causes nuclear and cytoplasmic abnormalities in oocytes, as well as failure of epigenetic reprogramming and zygotic genome activation in embryos

Genes & Development

... Raw sequencing data were assessed for quality using FastQC [26]. Clean data were obtained through quality control and trimming with Fastp [27] and were subsequently mapped to the reference genome. ...

Librarian: A quality control tool to analyse sequencing library compositions
  • Citing Article
  • January 2024

... LIPID Metabolites and Pathways Strategy (LIPID MAPS) (Conroy et al. 2024) is a comprehensive platform for organizing lipid structural and biochemical data. Established 20 years ago, its nomenclature and classification system is widely recognized as the community standard. ...

LIPID MAPS: update to databases and tools for the lipidomics community

Nucleic Acids Research

... Immunoglobulins play an essential role in the adaptive immune system in jawed vertebrates (mammals, birds, amphibians, etc.) and have been become the hallmark of the adaptive immune system [44,45]. Immunoglobulin heavy locus genes (IgH) has been experienced large-scale structural renovation and evolution to produce a diverse antibody library [46]. IgH can express many isotypes. ...

Intra- and interchromosomal contact mapping reveals the Igh locus has extensive conformational heterogeneity and interacts with B-lineage genes
  • Citing Article
  • September 2023

Cell Reports

... Among other roles, Batf has been linked to tissue Treg differentiation in mice (Burton et al., 2023;Delacher et al., 2020;Hayatsu et al., 2017). Thus, we hypothesize that tissue Treg might be further enriched in Penk relative to lymphoid organs. ...

The tissue-resident regulatory T cell pool is shaped by transient multi-tissue migration and a conserved residency program

... cDNA was generated using Superscript II Reverse Transcriptase (Invitrogen) according to manufacturer's instructions. For RT-qPCR, RNA was isolated and cDNA generated from ten young adult animals per strain and condition using the Power SYBR Green Cellsto-Ct kit (Invitrogen) according to previous described method 129 . qPCR was performed using PowerUp . ...

High-Throughput Quantitative RT-PCR in Single and Bulk C. elegans Samples Using Nanofluidic Technology
  • Citing Article
  • May 2020

Journal of Visualized Experiments

... For instance, the mRNA decay activator ZFP36L2 has recently been identified as a key factor in transcriptional silencing by promoting high histone methylation through degradation of H3K9 and H3K4 demethylases [27]. Furthermore, loss of histone modifiers such as the histone deacetylases HDAC1 and HDAC2 and the H3K9me1/2 methyltransferases EHMT2 (G9A) and EHMT1 (GLP) have been associated with impaired SN formation [32][33][34]. DNA methylation changes during the NSN to SN transition have not been studied in detail, although immunofluorescence analysis has indicated a global increase between NSN and SN oocytes [14,30]. DNA methylation is erased in the germline during embryonic development and is re-set in the growing oocyte in a unique pattern [31]. ...

Multi-omics analyses demonstrate a critical role for EHMT1 methyltransferase in transcriptional repression during oogenesis

Genome Research