Biology subjects

Mellor, J.

Publications and source records attributed to Mellor, J..

16 recordsLinked to original sources

bioRxiv2025

Metabolite accumulation mediates the shift between HOC and LOC phases in the Yeast Metabolic Cycle

The Yeast Metabolic Cycle (YMC) is a molecular system that serves as a model to study the internal clock that maintains homeostasis in complex organisms. Traditionally, this ultradian rhythm has been studied in the three phases where mature mRNA transcripts show peak accumulation. However, recent studies have shown that the YMC can be interpreted as a two-phase cycle based on altered redox states, known as the high (HOC) and low oxygen consumption (LOC) phases. The length of the HOC phase is fixed and its frequency is nutrient dependent but the nature of the HOC to LOC transition is poorly defined. Here, we use multivariate statistics to integrate metabolic, chromatin and transcriptional changes across the YMC to study the levels of organization that connect them. Our model reveals that both the HOC-LOC and LOC-HOC phase transitions in the YMC are coordinated by accumulating metabolites, reflecting cellular energetics and redox state. We propose that the cycling behavior of chromatin states, transcription and transcripts is a consequence of accumulating metabolites at phase transitions, which function by modulating protein activity and coordinating biochemical pathways to maintain cellular homeostasis.

cell biology↗

bioRxiv2023

A targeted metabolomic method to detect epigenetically relevant metabolites

Metabolites play a central role in the chemical crosstalk between metabolism and epigenetic marks. Epigenetically relevant metabolites are substrates, products and cofactors that can act as activators or inhibitors of epigenetic enzymes, which control gene expression by adding or removing chemical marks in the DNA, RNA and histones. Diet composition, and biosynthetic pathways encoded in the gut microbiome and the host genome are the main sources of these metabolites for mammals. Despite the increasing interest in the study of the microbiota-nutrient metabolism-host epigenetic axis to understand health and disease, there is a lack of a sensitive and easy analytical method to detect epigenetically relevant metabolites simultaneously. Here, we show an straightforward biphasic extraction where the organic phase is directly analyzed by GC-EI MS to detect short-chain fatty acids and formate without chemical derivatization, and the aqueous phase is analyzed by HILIC coupled to ESI-MS/MS, which together can cover >30 epigenetically relevant metabolites in biological samples such as liver, plasma or feces. In addition, we propose a stable isotope tracing method based on multiple-reaction monitoring (MRM) transitions by LC-QqQ MS to understand how 13C-labeled glucose or glutamine are used to build SAM and acetyl-CoA, the main methyl and acetyl group donors in epigenetic modifications, respectively. We anticipate that our methods will complement epigenomic and proteomic analyses adding another layer of molecular information towards mechanistic insights. HighlightsO_LIHost and microbiota metabolites link metabolism with epigenetic regulation. C_LIO_LIChemical structure diversity in epigenetically relevant metabolites challenges its analysis with a single method. C_LIO_LIA biphasic extraction with no chemical derivatization is able to recover SCFAs and other epigenetically relevant metabolites. C_LIO_LIA novel isotope trace experiment approach allows isotopomer resolution using MS2 data. C_LI

biochemistry↗

bioRxiv2021

Global and Gene-specific Transcriptional Responses to Acute Stress

Nucleosomes may regulate transcription by controlling access to promoters by transcription factors and RNA polymerase II (Pol2). Potentially active genes display nucleosome depleted regions flanked by positioned -1 and +1 nucleosomes. On yeast genes, the transcription start site (TSS) is on the upstream face of the +1 nucleosome, but whether precise +1 nucleosome positioning controls Pol2 access to the TSS remains unclear. Here, using acute nutrient starvation to rapidly reprogramme the genome, we show highly dynamic upstream or downstream shifts in the position of +1 nucleosomes, coincident with levels of transcriptionally engaged Pol2 at 58% of genes. Transcript level changes broadly reflect Pol2 occupancy changes with a delay but can be further influenced by Pub1 or Puf3 dependent changes in transcript degradation rates. The response to acute stress has a second component as we also observed genome-wide changes in Pol2 distribution on genes, independent of changes in Pol2 occupancy, with Pol2 accumulating upstream of a +170 nt stalling site. Mathematical modelling supports a global increase in promoter-proximal early transcription termination as a major component of the global stress response. Thus, we uncover a two-component transcriptional response to stress, one focused on the +1 nucleosome, the second on Pol2 itself. O_LIA two-component responses to acute stress involving a gene-specific response and a global response C_LIO_LIDynamic shifting of +1 nucleosome position with transcriptional activation or repression. C_LIO_LIGlobal targeting of Pol2 leading to early transcription termination on acute stress C_LI

molecular biology↗

bioRxiv2021

Mapping Human Transient Transcriptomes Using Single Nucleotide Resolution 4sU Sequencing (SNU-Seq)

Genomes are pervasively transcribed, leading to stable and unstable transcripts that influence 3-dimensional genome organisation and gene regulation. High sensitivity and nucleotide resolution are required to resolve mammalian nascent transcriptomes. Here, we exploit the sensitivity of 4-thio-uridine (4sU) metabolic pulse-labelling to develop two nucleotide-resolution methods: Single-Nucleotide resolution 4sU sequencing (SNU-Seq) and size-fractionated 4sU-Seq (sf4sU-Seq). sf4sU-Seq involves gel isolation of abundant 4sU-labelled promoter proximal nascent transcripts, enabling nucleotide resolution mapping of transcription start sites and promoter proximal pauses (PPPs) on the same transcript. SNU-Seq exploits 3 end RNA-Seq, using bacterial poly(A) polymerase (bPAP) to polyadenylate the 3 ends of nascent transcripts and create oligo(dT)-primed libraries. The artificial poly(A) tail marks the precise position of polymerase on a transcription unit. SNU-Seq read levels are similar at pre-mRNAs and enhancers genome-wide and read spikes in pre-mRNA outputs map pauses, PPPs and polyadenylation sites. SNU-Seq enables discovery of thousands of unannotated regions of divergent transcription and helps define hundreds of the more than 10,000 regions of primed non-transcribed acetylated open chromatin that induce divergent nascent transcripts within 0.5h of IFN-{gamma} treatment in Hep3B cells. Thus, combining chromatin analysis with SNU-Seq reveals the transcriptional responsiveness of an epigenetically primed human genome. HIGHLIGHTSO_LISNU-Seq maps nascent transcripts with bp resolution, high sensitivity and low cost C_LIO_LIsf4sU-Seq resolves TSS and PPP at the same gene, complementing SNU-Seq C_LIO_LI1000s of divergently transcribed enhancers resolved by SNU-Seq C_LIO_LIRapid IFN{gamma} dependent transcriptional induction from primed Hep3B epigenome C_LI GRAPHICAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=165 SRC="FIGDIR/small/452379v2_ufig1.gif" ALT="Figure 1"> View larger version (47K): org.highwire.dtl.DTLVardef@da6239org.highwire.dtl.DTLVardef@16692c6org.highwire.dtl.DTLVardef@12e30f7org.highwire.dtl.DTLVardef@190c98f_HPS_FORMAT_FIGEXP M_FIG C_FIG

molecular biology↗

bioRxiv2021

Pharmacologically induced weight loss is associated with distinct gut microbiome changes in obese rats

BackgroundObesity, metabolic disease and some psychiatric conditions are associated with changes to relative abundance of bacterial species and specific genes in the fecal microbiome. Little is known about the impact of pharmacologically induced weight loss on distinct gut microbiome species and their respective gene programs in obese individuals. ResultsUsing shotgun metagenomics, the composition of the microbiome was obtained for two cohorts of obese female Wistar rats (n=10-12, total of 82) maintained on a high fat diet before and after a 42-day treatment with a panel of four investigatory or approved anti-obesity drugs (tacrolimus/FK506, bupropion, naltrexone and sibutramine), alone or in combination. We found that sibutramine treatment induced consistent weight loss through reducing food intake. Decreased weight loss in sibutramine-treated rats was associated with changes to the gut microbiome that included increased beta-diversity, increased Bacteroides/Firmicutes ratio and increased relative abundance of multiple Bacteroides species. In addition, the relative abundance of multiple genes was found to be differentially abundant, including significant reductions in components of flagellum and genes involved in flagellum assembly. ConclusionsThis study provides a large resource comprising complete shotgun metagenomics datasets of the fecal microbiome coupled with weight change and food intake at day 3, day 15 and day 42 from 82 obese rats treated with a range of compounds used for weight loss, which are available to the community for detailed analysis. Furthermore, by conducting a detailed analysis of the microbiome associated with sibutramine-induced weight loss, we have identified multiple weight-loss associated microbial taxa and pathways. These include a reduction in components of flagellum and the flagellum assembly pathway that points to a potential role of sibutramine-induced weight-loss on regulating bacterially driven anti-inflammatory responses.

genomics↗

bioRxiv2021

3D genomic capture of regulatory immuno-genetic profiles in COVID-19 patients for prognosis of severe COVID disease outcome

Human infection with the SARS-CoV-2 virus leads to coronavirus disease (COVID-19). A striking characteristic of COVID-19 infection in humans is the highly variable host response and the diverse clinical outcomes, ranging from clinically asymptomatic to severe immune reactions leading to hospitalization and death. Here we used a 3D genomic approach to analyse blood samples at the time of COVID diagnosis, from a global cohort of 80 COVID-19 patients, with different degrees of clinical disease outcomes. Using 3D whole genome EpiSwitch(R) arrays to generate over 1 million data points per patient, we identified a distinct and measurable set of differences in genomic organization at immune-related loci that demonstrated prognostic power at baseline to stratify patients with mild forms of illness and those with severe forms that required hospitalization and intensive care unit (ICU) support. Further analysis revealed both well established and new COVID-related dysregulated pathways and loci, including innate and adaptive immunity; ACE2; olfactory, G{beta}{psi}, Ca2+ and nitric oxide (NO) signalling; prostaglandin E2 (PGE2), the acute inflammatory cytokine CCL3, and the T-cell derived chemotactic cytokine CCL5. We identified potential therapeutic agents for mitigation of severe disease outcome, with several already being tested independently, including mTOR inhibitors (rapamycin and tacrolimus) and general immunosuppressants (dexamethasone and hydrocortisone). Machine learning algorithms based on established EpiSwitch(R) methodology further identified a subset of 3D genomic changes that could be used as prognostic molecular biomarker leads for the development of a COVID-19 disease severity test.

biochemistry↗

bioRxiv2021

Spt4 Facilitates the Movement of RNA Polymerase II through the +2 Nucleosomal Barrier

Spt4 is a transcription elongation factor, with homologues in organisms with nucleosomes. Structural and in vitro studies implicate Spt4 in transcription through nucleosomes, yet the in vivo function of Spt4 is unclear. Here we assessed the precise position of Spt4 during transcription and the consequences of loss of Spt4 on RNA polymerase II (RNAPII) dynamics and nucleosome positioning in Saccharomyces cerevisiae. In the absence of Spt4, the spacing between gene-body nucleosomes increases and RNAPII accumulates upstream of the nucleosomal dyad, most dramatically at nucleosome +2. Spt4 associates with elongating RNAPII early in transcription and its association dynamically changes depending on nucleosome positions. Together, our data show that Spt4 regulates early elongation dynamics, participates in co-transcriptional nucleosome positioning, and promotes RNAPII movement through the gene-body nucleosomes, especially the +2 nucleosome.

genomics↗

bioRxiv2020

Sustained postsynaptic kainate receptor activation downregulates AMPA receptor surface expression and induces hippocampal LTD

Here we report that sustained activation of GluK2 subunit-containing kainate receptors leads to AMPA receptor endocytosis and a novel form of long-term depression (KAR-LTDAMPAR) in hippocampal neurons. The KAR-evoked loss of surface AMPA receptors requires KAR channel activity and is occluded by the blockade of PKC or PKA. Moreover, in acute hippocampal slices, kainate invoked LTD of AMPA EPSCs. These data, together with our previously reported KAR-LTPAMPAR, demonstrate that KARs bidirectionally regulate synaptic AMPARs and synaptic plasticity.

neuroscience↗

bioRxiv2020

FACT is recruited to the +1 nucleosome of transcribed genes and spreads in a Chd1-dependent manner

The histone chaperone FACT occupies transcribed regions where it plays prominent roles in maintaining chromatin integrity and preserving epigenetic information. How it is targeted to transcribed regions, however, remains unclear. Proposed models for how FACT finds its way to transcriptionally active chromatin include docking on the RNA polymerase II (RNAPII) C-terminal domain (CTD), recruitment by elongation factors, recognition of modified histone tails and binding partially disassembled nucleosomes. Here, we systematically tested these and other scenarios in Saccharomyces cerevisiae and found that FACT binds transcribed chromatin, not RNAPII. Through a combination of experimental and mathematical modeling evidence, we propose that FACT recognizes the +1 nucleosome, as it is partially unwrapped by the engaging RNAPII, and spreads to downstream nucleosomes aided by the chromatin remodeler Chd1. Our work clarifies how FACT interacts with genes, suggests a processive mechanism for FACT function, and provides a framework to further dissect the molecular mechanisms of transcription-coupled histone chaperoning. HighlightsO_LIHigh-resolution mapping of FACT localization in yeast C_LIO_LIFACT binds partially unwrapped nucleosomes in transcribed genes, not RNAPII C_LIO_LIFACT distribution along genes requires Chd1 C_LIO_LIProcessive mechanism for FACT function C_LI

molecular biology↗

bioRxiv2020

Cold induced chromatin compaction and nuclear retention of clock mRNAs resets the circadian rhythm

Cooling patients to sub-physiological temperatures is an integral part of modern medicine. We show that cold exposure induces temperature-specific changes to the higher-order chromatin and gene expression profiles of human cells. These changes are particularly dramatic at 18{degrees}C, a temperature synonymous with that experienced by patients undergoing controlled deep-hypothermia during surgery. Cells exposed to 18{degrees}C exhibit largely nuclear-restricted transcriptome changes. These include the nuclear accumulation of core circadian clock suppressor gene transcripts, most notably REV-ERB. This response is accompanied by compaction of higher-order chromatin and hindrance of mRNPs from engaging nuclear pores. Rewarming reverses chromatin compaction and releases the transcripts into the cytoplasm, triggering a pulse of suppressor gene proteins that resets the circadian clock. We show that cold-induced upregulation of REV-ERB alone is sufficient to trigger this resetting. Our findings uncover principles of the cellular cold-response that must be considered for current and future applications involving therapeutic deep-hypothermia.

molecular biology↗

bioRxiv2020

Acetylcholine prioritises direct synaptic inputs from entorhinal cortex to 1 CA1 by differential modulation of feedforward inhibitory circuits

Acetylcholine release in the hippocampus plays a central role in the formation of new memory representations by facilitating synaptic plasticity. It is also proposed that memory formation requires acetylcholine to enhance responses in CA1 to new sensory information from entorhinal cortex whilst depressing inputs from previously encoded representations in CA3, but this influential theory has not been directly tested. Here, we show that excitatory inputs from entorhinal cortex and CA3 are depressed equally by synaptic release of acetylcholine in CA1. However, greater depression of feedforward inhibition from entorhinal cortex results in an overall enhancement of excitatory-inhibitory balance and CA1 activation. Underpinning the prioritisation of entorhinal inputs, entorhinal and CA3 pathways engage distinct feedforward interneuron subpopulations and depression is mediated differentially by presynaptic muscarinic M3 and M4 receptors respectively. These mechanisms enable acetylcholine to prioritise novel information inputs to CA1 during memory formation and suggest selective muscarinic targets for therapeutic intervention.

neuroscience↗

bioRxiv2019

Transcriptional changes are regulated by metabolic pathway dynamics but decoupled from protein levels

Transcription is necessary for the synthesis of new proteins, often leading to the assumption that changes in transcript levels lead to changes in protein levels which directly impact a cells phenotype. Using a synchronized biological rhythm, we show that despite genome-wide partitioning of transcription, transcripts and translation levels into two phase-shifted expression clusters related to metabolism, detectable protein levels remain constant over time. This disconnect between cycling translation and constant protein levels can be explained by slow protein turnover rates, with overall protein levels maintained by low level pulses of new protein synthesis. Instead, rhythmic post-translational regulation of the activities of different proteins, influenced by the metabolic state of the cells, appears to be key to coordinating the physiology of the biological rhythm with cycling transcription. Thus, transcriptional and translational cycling reflects, rather than drives, metabolic and biosynthetic changes during biological rhythms. We propose that transcriptional changes are often the consequence, rather than the cause, of changes in cellular physiology and that caution is needed when inferring the activity of biological processes from transcript data. O_LIChanges in protein levels do not explain the changing states of a biological rhythm C_LIO_LISlow protein turnover rates decouple proteins levels from a rhythmic transcriptome C_LIO_LIMetabolites determine protein activity via rhythmic post-translational modifications C_LIO_LICycling protein activity explains rhythmic transcription and ribosome biogenesis C_LIO_LIA cycling transcriptome is a consequence, not a cause, of physiological changes C_LI O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=199 SRC="FIGDIR/small/833921v2_ufig1.gif" ALT="Figure 1"> View larger version (35K): org.highwire.dtl.DTLVardef@25cad0org.highwire.dtl.DTLVardef@1265735org.highwire.dtl.DTLVardef@2779fdorg.highwire.dtl.DTLVardef@1b9efe5_HPS_FORMAT_FIGEXP M_FIG C_FIG

molecular biology↗

bioRxiv2019

H3K4me3 is neither instructive for, nor informed by, transcription.

H3K4me3 is a near-universal histone modification found predominantly at the 5 region of genes, with a well-documented association with gene activity. H3K4me3 has been ascribed roles as both an instructor of gene expression and also a downstream consequence of expression, yet neither has been convincingly proven on a genome-wide scale. Here we test these relationships using a combination of bioinformatics, modelling and experimental data from budding yeast in which the levels of H3K4me3 have been massively ablated. We find that loss of H3K4me3 has no effect on the levels of nascent transcription or transcript in the population. Moreover, we observe no change in the rates of transcription initiation, elongation, mRNA export or turnover, or in protein levels, or cell-to-cell variation of mRNA. Loss of H3K4me3 also has no effect on the large changes in gene expression patterns that follow galactose induction. Conversely, loss of RNA polymerase from the nucleus has no effect on the pattern of H3K4me3 deposition and little effect on its levels, despite much larger changes to other chromatin features. Furthermore, large genome-wide changes in transcription, both in response to environmental stress and during metabolic cycling, are not accompanied by corresponding changes in H3K4me3. Thus, despite the correlation between H3K4me3 and gene activity, neither appear to be necessary to maintain levels of the other, nor to influence their changes in response to environmental stimuli. When we compare gene classes with very different levels of H3K4me3 but highly similar transcription levels we find that H3K4me3-marked genes are those whose expression is unresponsive to environmental changes, and that their histones are less acetylated and dynamically turned-over. Constitutive genes are generally well-expressed, which may alone explain the correlation between H3K4me3 and gene expression, while the biological role of H3K4me3 may have more to do with this distinction in gene class.

genomics↗

bioRxiv2018

Translational control of TFEB and autophagy via eIF5A rejuvenates B cell immunity

Failure to make adaptive immune responses is a hallmark of aging. In particular reduced B cell function leads to poor vaccination efficacy and a high prevalence of infections in the elderly. However, the molecular mechanism underlying immune senescence is largely unknown. Here we show that autophagy levels are specifically reduced in mature lymphoid cells, leading to compromised memory B cell responses in old individuals. Spermidine, a naturally occurring polyamine metabolite, induces autophagy in vivo and rejuvenates memory B cell responses in an autophagy-dependent manner. Mechanistically, spermidine post-translationally modifies the translation factor eIF5A, which assists the synthesis of TFEB, a key transcription factor of autophagy. Spermidine is depleted in the elderly, leading to reduced TFEB expression and autophagy. Replenishing spermidine restored this pathway and improved the responses of old human B cells. Taken together, our results reveal an unexpected autophagy regulatory mechanism mediated by eIF5A at the translational level, and this pathway can be harnessed to rejuvenate immune senescence in humans.

cell biology↗

bioRxiv2017

Antisense transcription-dependent chromatin signature modulates sense transcription and transcript dynamics

Antisense transcription is widespread in genomes. Despite large differences in gene size and architecture, we find that yeast and human genes share a unique, antisense transcription-associated chromatin signature. We asked whether this signature is related to a biological function for antisense transcription. Using quantitative RNA-FISH, we observed changes in sense transcript distributions in nuclei and cytoplasm as antisense transcript levels were altered. To determine the mechanistic differences underlying these distributions, we developed a mathematical framework describing transcription from initiation to transcript degradation. At GAL1, high levels of antisense transcription alters sense transcription dynamics, reducing rates of transcript production and processing, while increasing transcript stability, which is also a genome-wide association. Establishing the antisense transcription-associated chromatin signature through disruption of the Set3C histone deacetylase activity is sufficient to similarly change these rates even in the absence of antisense transcription. Thus, antisense transcription alters sense transcription dynamics in a chromatin-dependent manner.\n\n\n\nO_FIG O_LINKSMALLFIG WIDTH=198 HEIGHT=200 SRC=\"FIGDIR/small/187237_fig8.gif\" ALT=\"Figure 8\">\nView larger version (52K):\norg.highwire.dtl.DTLVardef@4f872corg.highwire.dtl.DTLVardef@1339662org.highwire.dtl.DTLVardef@1d62cc2org.highwire.dtl.DTLVardef@148f24_HPS_FORMAT_FIGEXP M_FIG Graphical Abstract\n\nC_FIG In this work, Brown et al. provide a mechanistic understanding of the effect of antisense transcription on the production and fate of sense transcripts. Antisense transcription buffers genes against the action of the Set3 lysine deacetylase, thus altering rates of transcript production, processing and stability. O_LIConserved antisense transcription-dependent chromatin architecture near promoters\nC_LIO_LIAntisense transcription alters sense transcription dynamics and transcript stability\nC_LIO_LIAntisense transcription functions in a chromatin-dependent manner\nC_LIO_LIIncreased acetylation by set3{Delta} mimics high antisense transcriptional dynamics\nC_LI

systems biology↗

bioRxiv2017

CRISPRi is not strand-specific and redefines the transcriptional landscape

CRISPRi, an adapted CRISPR-Cas9 system, is proposed to act as a strand-specific roadblock to repress transcription in eukaryotic cells using guide RNAs (sgRNAs) to target catalytically inactive Cas9 (dCas9) and offers an alternative to genetic interventions for studying pervasive antisense transcription. Here we successfully use click chemistry to construct DNA templates for sgRNA expression and show, rather than acting simply as a roadblock, binding of sgRNA/dCas9 creates an environment that is permissive for transcription initiation and termination, thus generating novel sense and antisense transcripts. At HMS2 in Saccharomyces cerevisiae, sgRNA/dCas9 targeting to the non-template strand results in antisense transcription termination, premature termination of a proportion of sense transcripts and initiation of a novel antisense transcript downstream of the sgRNA/dCas9 binding site. This redefinition of the transcriptional landscape by CRISPRi demonstrates that it is not strand-specific and highlights the controls and locus understanding required to properly interpret results from CRISPRi interventions.

genetics↗