Contact

Nicholas Crump

  • Kay Kendall Intermediate Fellow

n.crump@imperial.ac.uk

Follow us on instagram (@crumplab)

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

Nick Crump (he/him)

Nick Crump (he/him)
Kay Kendall Leukaemia Fund Intermediate Fellow

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

The Kay Kendall Leukaemia Fund

Blood Cancer UK/ Matthew Wilson MM Fund

Imperial Health Charity

The Royal Society

Research Publications

Citation

BibTex format

@article{Harman:2021:10.1101/gr.268490.120,
author = {Harman, JR and Thorne, R and Jamilly, M and Tapia, M and Crump, NT and Rice, S and Beveridge, R and Morrissey, E and de, Bruijn MFTR and Roberts, I and Roy, A and Fulga, TA and Milne, TA},
doi = {10.1101/gr.268490.120},
journal = {Genome Research},
pages = {1159--1173},
title = {A KMT2A-AFFI gene regulatory network highlights the role of core transcription factors and reveals the regulatory logic of key downstream target genes},
url = {http://dx.doi.org/10.1101/gr.268490.120},
volume = {31},
year = {2021}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Regulatory interactions mediated by transcription factors (TFs) make up complex networks that control cellular behavior. Fully understanding these gene regulatory networks (GRNs) offers greater insight into the consequences of disease-causing perturbations than can be achieved by studying single TF binding events in isolation. Chromosomal translocations of the lysine methyltransferase 2A (KMT2A) gene produce KMT2A fusion proteins such as KMT2A-AFF1 (previously MLL-AF4), causing poor prognosis acute lymphoblastic leukemias (ALLs) that sometimes relapse as acute myeloid leukemias (AMLs). KMT2A-AFF1 drives leukemogenesis through direct binding and inducing the aberrant overexpression of key genes, such as the anti-apoptotic factor BCL2 and the proto-oncogene MYC. However, studying direct binding alone does not incorporate possible network-generated regulatory outputs, including the indirect induction of gene repression. To better understand the KMT2A-AFF1-driven regulatory landscape, we integrated ChIP-seq, patient RNA-seq, and CRISPR essentiality screens to generate a model GRN. This GRN identified several key transcription factors such as RUNX1 that regulate target genes downstream of KMT2A-AFF1 using feed-forward loop (FFL) and cascade motifs. A core set of nodes are present in both ALL and AML, and CRISPR screening revealed several factors that help mediate response to the drug venetoclax. Using our GRN, we then identified a KMT2A-AFF1:RUNX1 cascade that represses CASP9, as well as KMT2A-AFF1-driven FFLs that regulate BCL2 and MYC through combinatorial TF activity. This illustrates how our GRN can be used to better connect KMT2A-AFF1 behavior to downstream pathways that contribute to leukemogenesis, and potentially predict shifts in gene expression that mediate drug response.
AU  - Harman,JR
AU  - Thorne,R
AU  - Jamilly,M
AU  - Tapia,M
AU  - Crump,NT
AU  - Rice,S
AU  - Beveridge,R
AU  - Morrissey,E
AU  - de,Bruijn MFTR
AU  - Roberts,I
AU  - Roy,A
AU  - Fulga,TA
AU  - Milne,TA
DO  - 10.1101/gr.268490.120
EP  - 1173
PY  - 2021///
SN  - 1054-9803
SP  - 1159
TI  - A KMT2A-AFFI gene regulatory network highlights the role of core transcription factors and reveals the regulatory logic of key downstream target genes
T2  - Genome Research
UR  - http://dx.doi.org/10.1101/gr.268490.120
UR  - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000680055300004&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a2bf6146997ec60c407a63945d4e92bb
UR  - https://genome.cshlp.org/content/31/7/1159
VL  - 31
ER  -
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