Areas of Research

Epigenetic regulation of myeloma

Multiple myeloma is in many ways a disease driven by inappropriate gene expression. It is characterised by the aberrant activation of gene regulatory elements known as enhancers, stimulating the upregulation of key oncogenes. Blocking this behaviour is therefore a promising strategy for myeloma treatment, and many therapeutic strategies directly or indirectly target gene regulatory pathways.

The lab studies the epigenetic regulation of gene expression, focused on the way these processes are dysregulated in multiple myeloma. We have a particular interest in understanding the role of oncogenic enhancer activity in driving myeloma-specific transcriptional profiles, and identifying the factors responsible for this behaviour. A major goal of the lab is to identify potential therapeutic targets that could be developed as novel therapies for multiple myeloma.

We use a variety of high-throughput genomics techniques to study the chromatin landscape, including ChIP-seq, ATAC-seq and RNA-seq. We have optimised TOPmentation, a small cell-number technique that allows us to characterise the chromatin profile of myeloma patient samples. In addition, we use the 3C technology Micro-Capture-C to map the physical association of enhancers and promoters. By combining these techniques with genetic and pharmacological manipulation of myeloma cell lines, we are able to explore mechanistically enhancer function and regulation.

Mechanisms of myeloma drug resistance

Relapse is very common in myeloma after initial treatment. Patients typically enter remission following treatment, but invariably relapse, often with resistance to one or more of these drugs. There is therefore a pressing need to understand the mechanisms that drive this resistance to find ways to counteract it. We are working to identify and understand epigenetic mechanisms that drive drug resistance via changes in gene expression, which therefore may be reversed to resensitise cells to therapy.

Our team

Jinglin Zhou (he/him)

Jinglin Zhou (he/him)
PhD student

Jason Taslim (he/him)

Jason Taslim (he/him)
Research assistant

Sophie Ball (she/her)

Sophie Ball (she/her)
PhD student

Funders

Research Publications

Citation

BibTex format

@article{Rice:2021:10.1038/s41467-021-27270-z,
author = {Rice, S and Jackson, T and Crump, NT and Fordham, N and Elliott, N and O'Byrne, S and Fanego, MDML and Addy, D and Crabb, T and Dryden, C and Inglott, S and Ladon, D and Wright, G and Bartram, J and Ancliff, P and Mead, AJ and Halsey, C and Roberts, I and Milne, TA and Roy, A},
doi = {10.1038/s41467-021-27270-z},
journal = {Nature Communications},
title = {A human fetal liver-derived infant MLL-AF4 acute lymphoblastic leukemia model reveals a distinct fetal gene expression program},
url = {http://dx.doi.org/10.1038/s41467-021-27270-z},
volume = {12},
year = {2021}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AB - Although 90% of children with acute lymphoblastic leukemia (ALL) are now cured, the prognosis for infant-ALL remains dismal. Infant-ALL is usually caused by a single genetic hit that arises in utero: an MLL/KMT2A gene rearrangement (MLL-r). This is sufficient to induce a uniquely aggressive and treatment-refractory leukemia compared to older children. The reasons for disparate outcomes in patients of different ages with identical driver mutations are unknown. Using the most common MLL-r in infant-ALL, MLL-AF4, as a disease model, we show that fetal-specific gene expression programs are maintained in MLL-AF4 infant-ALL but not in MLL-AF4 childhood-ALL. We use CRISPR-Cas9 gene editing of primary human fetal liver hematopoietic cells to produce a t(4;11)/MLL-AF4 translocation, which replicates the clinical features of infant-ALL and drives infant-ALL-specific and fetal-specific gene expression programs. These data support the hypothesis that fetal-specific gene expression programs cooperate with MLL-AF4 to initiate and maintain the distinct biology of infant-ALL.
AU - Rice,S
AU - Jackson,T
AU - Crump,NT
AU - Fordham,N
AU - Elliott,N
AU - O'Byrne,S
AU - Fanego,MDML
AU - Addy,D
AU - Crabb,T
AU - Dryden,C
AU - Inglott,S
AU - Ladon,D
AU - Wright,G
AU - Bartram,J
AU - Ancliff,P
AU - Mead,AJ
AU - Halsey,C
AU - Roberts,I
AU - Milne,TA
AU - Roy,A
DO - 10.1038/s41467-021-27270-z
PY - 2021///
SN - 2041-1723
TI - A human fetal liver-derived infant MLL-AF4 acute lymphoblastic leukemia model reveals a distinct fetal gene expression program
T2 - Nature Communications
UR - http://dx.doi.org/10.1038/s41467-021-27270-z
UR - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000722866700015&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a2bf6146997ec60c407a63945d4e92bb
UR - https://www.nature.com/articles/s41467-021-27270-z
VL - 12
ER -