Exeter Single-Cell Epigenomics PhD: Long-Read Sequencing for Cell-Type Identification

Exeter Single-Cell Epigenomics PhD: Long-Read Sequencing for Cell-Type Identification

Quick Decision

This four-year Exeter project addresses a practical problem in epigenetic epidemiology: whole-blood measurements combine many cell types and can conceal cell-specific methylation changes linked to disease. The student will benchmark a method for assigning cell of origin to individual long DNA reads, build reference methylomes, apply validated models to cohort data and run cell-specific association analyses. The project suits applicants with strong mathematics and programming who want to work across long-read sequencing, statistical genomics and cell biology.

The current award page identifies this as an MRC-funded, four-year studentship with UK tuition, a £21,805 stipend reference for 2026/27 and up to £5,000 per year for research and training. National programme information says Exeter students do not need to top up UKRI funding for international tuition; the final award letter should still set out the coverage and conditions. The project materials list 8 December 2026, while the current award page gives 5 January 2027. UK Biobank has paused new access applications but plans to reopen in late 2026. Until Exeter confirms the applicable date, prepare for 8 December. Ask the team about approvals, data-release milestones and a fallback plan before treating the advertised 50,000-genome cohort as ready for analysis. Project description Current award information UK Biobank access status

Research Problem and Doctoral Work

DNA methylation and other epigenetic patterns vary between cell types. A whole-blood sample contains a mixture of cells, so a disease-associated signal may reflect a change within a cell type, a change in the proportion of cell types, or both. Physical cell sorting can help separate these effects, but it is costly and difficult to apply at very large scale.

The project's central idea is to use methylation patterns along long sequencing reads to infer which cell type produced each read. The advertised work has four connected aims:

1. Measure how accurately reads can be assigned to a cell of origin and identify the conditions under which prediction works best.
2. Curate a reference atlas of methylomes from different cell types and tissues.
3. Apply the validated method to cohort data, estimate sample cell composition and produce cell-type-specific epigenetic profiles.
4. Conduct cell-type-specific epigenome-wide association studies (EWAS) for smoking, age and other health or disease phenotypes.

The project description says the analysis will begin with blood long-read data and use purified-cell reference datasets for benchmarking and model refinement. It describes approximately 50,000 Oxford Nanopore long-read UK Biobank genomes as the large-scale resource. The UK Biobank's 2025 annual report said its 50,000-participant long-read effort was expected to release the first 5,000 high-coverage genomes to approved researchers later in 2026, with the remainder in 2027. That is a projected release schedule, not confirmation that this project's application is approved or that every sample will be immediately available. Project description UK Biobank Annual Report 2025

Hannon and Mill's 2024 preprint is the closest public methodological precursor. It tests read-origin prediction against references for six common blood cell types. The authors report that accuracy differs by cell type and genomic region; reliable lymphoid-versus-myeloid discrimination was possible across about one third of the genome. This provides a specific starting point for the doctorate, while also showing why performance must be measured by cell type and genomic region rather than summarized by one overall accuracy number. Since the work is a preprint, treat it as preliminary evidence, not a validated guarantee for the proposed cohort or all cell types. Hannon and Mill, 2024 preprint

Key technical questions include how broad the reference atlas needs to be, whether read length and sequencing depth affect classification, how to calibrate uncertain assignments, and how to separate shifts in cell composition from methylation changes within cells. The advertised objectives do not specify exact cell-type panels, performance thresholds, phenotype list, or a fallback dataset. The method's progression from purified reference benchmarks to large-cohort analysis is sensible, but access and validation plans are central to feasibility.

School, Programme and Field Context

The project identifies the University of Exeter as its primary institution within Clinical and Biomedical Sciences. The department's research environment includes genomics, epigenomics, data science and AI, long-read approaches, high-performance computing and reproducible research. The project description names Exeter's ISCA and regional ISAMBARD 3 computing facilities and training in reproducible research. The listed collaboration with the Birney Group at EMBL-EBI adds a genomics and long-read methods connection; the project materials do not establish a joint degree or a separate degree-awarding role for EMBL-EBI. Department research Project description Birney Group

Exeter was 136th in the QS World University Rankings 2027 overall. QS's 2025 Biological Sciences subject table placed it 99th. In REF 2021, Clinical Medicine (UOA1) was rated 45% 4-star and 48% 3-star, and Biological Sciences (UOA5) 41% 4-star and 49% 3-star. These indicators provide institutional and subject-level context; none rates this specific project or predicts an individual student's experience. Exeter's biosciences page gives further department-level research context. Exeter ranking summary QS Biological Sciences ranking REF 2021 results Exeter biosciences

The studentship sits within the six-institution UK Functional Genomics Doctoral Landscape Award. Cohort training covers functional genomics, statistics, bioinformatics, AI/machine learning, research integrity, leadership, public engagement and career development. The official programme states that Exeter students do not need to top up UKRI funding for international tuition fees. The exact registration arrangements and whether this project can be taken part-time are not stated in the reviewed project materials; confirm the degree-awarding institution and mode in writing. Functional Genomics DLA programme Exeter award and application details

Supervisor and Lab Assessment

The project names Eilis Hannon as lead. Exeter's academic directory lists her as an Associate Professor. Her work combines statistical genomics and computational methods for cell-type-specific epigenetic variation; she also leads training in reproducible research. Exeter's Complex Disease Epigenomics Group includes Hannon and Jonathan Mill. The Birney Group at EMBL-EBI works across AI and genomics and describes expertise in Oxford Nanopore long reads and DNA modification. The project confirms a collaboration with this group but does not name an EBI co-supervisor or explain how daily supervision is divided. Exeter academic staff Complex Disease Epigenomics Group Hannon profile and research Birney Group

Recent team publications provide methodological context for the project’s focus on cell-specific methylation:

• Read-level cell-of-origin prediction: Hannon and Mill's 2024 preprint proposes classifying individual long reads using methylation references. Its cell- and region-dependent performance makes benchmarking and calibration core project tasks. It remains a preprint. Paper
• Cell composition in cortex: Hannon and colleagues' 2024 BMC Biology paper validates expanded references for neuronal and glial subtypes and explains why cell-composition covariates matter in bulk-tissue EWAS. It demonstrates reference and deconvolution expertise, though it concerns cortex rather than long-read blood classification. Paper
• Study design for cell-specific EWAS: A 2025 paper by Walker and colleagues, including Hannon and Mill, uses 751 purified-cell methylation samples, power calculations and simulated comparisons of regression approaches. It is relevant to the project's later association-analysis stage, but focuses on purified cortical cell populations. Paper
• Developmental methylation dynamics: A 2025 team study profiles cell-type-specific methylation across human cortex development. It shows recent team activity in large epigenomic analyses, while using a different tissue and question from this studentship. Paper

Together, this work indicates a group active in methylation reference methods, cell composition and statistical analysis. It does not establish how much sequencing will be generated during the doctorate, which project researchers will supervise the student day to day, or how often the student will work with the EBI collaborators. Those arrangements are worth asking about before accepting.

Research Direction, Methods and Career Context

Long-read methods can preserve longer-range methylation patterns on the same DNA molecule and potentially provide cell-origin information without physically sorting every cell. Recent work shows the idea is developing: LongReadAge applies long reads to cell-type-specific aging, while an atlas of sorted human cell types demonstrates the value of broad reference profiles. Other method studies show that coverage, mapping, genomic region and reference choice can change methylation calls or deconvolution accuracy. These papers support the project's direction, not a promise that its proposed method will work equally well across all tissues or phenotypes. LongReadAge study Human cell methylation atlas Oxford Nanopore methylation benchmark Haplotype-aware deconvolution study

A useful research contribution could be to determine which cell types and genomic regions support reliable read assignment, quantify uncertainty, and test how reference composition affects downstream EWAS. These are evidence-based possible directions, not additional advertised deliverables. The method may also be informative for future cohort-scale epigenetic studies if validated across populations and sequencing conditions. The project description does not specify an individual publication target or guarantee access to a particular tissue or assay beyond the named data plan.

The DLA's cross-training in functional genomics, statistics, bioinformatics and AI/ML may help with academic and non-academic options in statistical genomics, bioinformatics, epigenomics, sequencing technology, research software and biotech data science. Skills England and the Office for Life Sciences forecast 66,000 additional jobs across priority UK life-sciences occupations between 2025 and 2035, plus replacement demand. This is a broad sector estimate, not a forecast for computational epigenomics, a particular city or an individual graduate. Functional Genomics DLA training Skills England life-sciences assessment

Funding, Application, and Living Cost

The official Exeter award page currently lists a 5 January 2027 deadline, Autumn 2027 entry, four years of support, UK tuition fees, a 2026/27 stipend figure of £21,805 per year, and up to £5,000 per year in research and training support. The collected project listing instead states 8 December 2026. As these dates conflict, ask Exeter which applies to this project and plan for 8 December until the programme confirms otherwise. Exeter award page Project directory

UKRI's published 2026/27 minimum full-time stipend is also £21,805; it lists a 2026/27 minimum tuition contribution of £5,238 and generally funds only up to the Home fee rate. The national DLA page specifically says Exeter-based students do not need to supplement UKRI funding for international tuition. The offer letter should make the complete four-year coverage and any conditions explicit. The £5,000 annual research/training support is a separate project allowance, not additional personal stipend. UKRI student support DLA international-fee policy

Exeter estimates basic living costs at £1,300–£2,000 per month. At £21,805 per year, the stipend averages about £1,817 per month: roughly £517 above the lower estimate or £183 below the upper estimate, before personal travel and other individual costs. A postgraduate self-catered room example is £124.74 per week on a 44-week contract, but availability, contract duration and other bills change the total. These are planning ranges, not a personal budget. Exeter living-cost guidance Accommodation options

UK Biobank currently says new access applications are paused and are expected to reopen in late 2026. Its Research Analysis Platform is also closed and may charge for compute, storage and data export. Ask whether the team has approval, which data tier and release schedule it expects, who will cover access costs, and how the work will proceed if access is delayed. UK Biobank access UK Biobank platform

The official award page specifies a relevant 2:1 degree or equivalent and lists an academic transcript, CV up to two pages, two references, proof of English where applicable, and a Functional Genomics DLA questionnaire. The process has two stages; applicants may make one application and rank up to three projects. The project itself calls for strong mathematical and programming ability, interest in long-read biotechnology and willingness to learn cell biology. Exeter award and application details Official project description

Applicant Fit and Preparation

This project is most aligned with applicants who enjoy quantitative analysis and want to work on biological questions using sequencing data. Strong programming and mathematics are stated criteria; prior expertise with a particular language or Oxford Nanopore platform is not specified. The student will also need to learn enough cell biology to judge whether reference labels, tissue context and cell-composition estimates make biological sense.

A focused application could show a reproducible analysis project, clear statistical reasoning, examples of evaluating model performance across groups or data quality levels, and an explanation of why cell-type resolution matters for methylation studies. Familiarity with regression, classification calibration, version control, workflow management and high-performance computing would be useful preparation, but these should be presented as skills to build or evidence rather than unpublished formal requirements. Read the team's preprint and be prepared to discuss its uneven accuracy across cell types and genomic regions.

Next Actions and Questions to Verify

Before Applying

• Which deadline applies to this project: 8 December 2026 or 5 January 2027, and what is the exact cutoff time and time zone?
• What are the final application stages and documents? How will Exeter assess an equivalent degree and English-language evidence?
• Does the written award cover the full international tuition fee in all four years, and what stipend will apply after 2026/27?

At Interview

• Has the team secured UK Biobank approval or a clear access route? Which data tier and long-read files are expected to be available when the PhD begins?
• If data access or release is delayed, what fallback cohort or reference-generation work can support the first year?
• Which tissues, cell types and methylome references will be in scope, and how will cell- and region-specific accuracy, calibration and uncertainty be evaluated?
• Who will formally supervise at Exeter and EMBL-EBI, how will the work be divided, and what are the expected collaboration or travel arrangements?

Before Accepting an Offer

• Which institution will register the student and award the PhD, and is part-time study available for this particular project?
• Is the £5,000 annual research/training allowance ring-fenced, and who pays for UK Biobank access, compute, storage, data export, sequencing and conference travel?
• Can the final offer state the four-year stipend and fee coverage, including any conditions or costs not covered?

Evidence and Sources

Project and programme

• Official project description
• MRC Functional Genomics DLA award 6025
• Funded project directory
• Functional Genomics DLA postgraduate training and international-fee information
• Clinical and Biomedical Sciences research

Supervisor, team and methods papers

• Clinical and Biomedical Sciences academic staff
• Complex Disease Epigenomics Group
• Eilis Hannon profile and research
• Birney Group at EMBL-EBI
• Hannon and Mill, read-origin prediction preprint (2024)
• Hannon et al., cortex cell-composition references (2024)
• Walker et al., cell-specific EWAS design and analysis (2025)
• Franklin et al., cell-type-specific cortex methylation dynamics (2025)
• Loyfer et al., human cell methylation atlas
• LongReadAge cell-type-specific aging study (2025)
• Oxford Nanopore methylation calling benchmark (2024)
• Haplotype-aware methylation deconvolution study (2024)

Institution and subject context

• Exeter ranking summary
• QS Biological Sciences subject ranking
• REF 2021 results
• Biosciences at Exeter

Funding, costs, data access and career context

• UK Biobank Annual Report 2025
• Apply for UK Biobank access
• UK Biobank Research Analysis Platform
• Exeter living-cost guidance
• Exeter postgraduate accommodation options
• UKRI support for funded students
• Skills England life-sciences sector assessment