Lee Machado

Dr. Lee Machado

Northampton University
+1
orcid

Research Focus & Metrics

Academic Career Length

19Years (2008-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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24 September 2009 in Blood
Verified
Journal Article
Open access
PDF file
LRLisa J. Russell
Lisa J. Russell
MCMelania Capasso
Melania Capasso
IVInga Vater
Inga Vater
TATakashi Akasaka
Takashi Akasaka
OBOlivier A. Bernard
Olivier A. Bernard
CHChristine J. Harrison
Christine J. Harrison
We report 2 novel, cryptic chromosomal abnormalities in precursor B-cell acute lymphoblastic leukemia (BCP-ALL): a translocation, either t(X;14)(p22;q32) or t(Y;14)(p11;q32), in 33 patients and an interstitial deletion, either del(X)(p22.33p22.33) or del(Y)(p11.32p11.32), in 64 patients, involving the pseudoautosomal region (PAR1) of the sex chromosomes. The incidence of these abnormalities was 5% in childhood ALL (0.8% with the translocation, 4.2% with the deletion). Patients with the translocation were older (median age, 16 years), whereas the patients with the deletion were younger (median age, 4 years). The 2 abnormalities result in deregulated expression of the cytokine receptor, cytokine receptor-like factor 2, CRLF2 (also known as thymic stromal-derived lymphopoietin receptor, TSLPR). Overexpression of CRLF2 was associated with activation of the JAK-STAT pathway in cell lines and transduced primary B-cell progenitors, sustaining their proliferation and indicating a causal role of CRLF2 overexpression in lymphoid transformation. In Down syndrome (DS) ALL and 2 non-DS BCP-ALL cell lines, CRLF2 deregulation was associated with mutations of the JAK2 pseudokinase domain, suggesting oncogenic cooperation as well as highlighting a link between non-DS ALL and JAK2 mutations.

1 July 2008 in The American Journal of Pathology
Verified
Journal Article
Closed access
KBKarl R.N. Baumforth
Karl R.N. Baumforth
ABAnna Birgersdotter
Anna Birgersdotter
GRGary M. Reynolds
Gary M. Reynolds
WWWenbin Wei
Wenbin Wei
GKGeorgia Kapatai
Georgia Kapatai
PMPaul G. Murray
Paul G. Murray

26 October 2015 in Immunological Reviews
Verified
Journal Article
Closed access
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CHChantal E. Hargreaves
Chantal E. Hargreaves
Matthew Rose-ZerilliMatthew Rose-Zerilli
Matthew Rose-Zerilli
Lee MachadoLee Machado
Lee Machado
CIChisako Iriyama
Chisako Iriyama
EHEdward J. Hollox
Edward J. Hollox
JSJonathan Strefford
Jonathan Strefford

18 March 2015 in Frontiers in Immunology
Verified
Journal Article
Open access
PDF file
Lee MachadoLee Machado
Lee Machado
BOBarbara Ottolini
Barbara Ottolini
Defensins represent an evolutionary ancient family of antimicrobial peptides that play diverse roles in human health and disease. Defensins are cationic cysteine-containing multifunctional peptides predominantly expressed by epithelial cells or neutrophils. Defensins play a key role in host innate immune responses to infection and, in addition to their classically described role as antimicrobial peptides, have also been implicated in immune modulation, fertility, development and wound healing. Aberrant expression of defensins is important in a number of inflammatory diseases as well as modulating host immune responses to bacteria, unicellular pathogens and viruses. In parallel with their role in immunity, in other species, defensins have evolved alternative functions, including the control of coat color in dogs. Defensin genes reside in complex genomic regions that are prone to structural variations and some defensin family members exhibit copy number variation (CNV). Structural variations have mediated, and continue to influence, the diversification and expression of defensin family members. This review highlights the work currently being done to better understand the genomic architecture of the β-defensin locus. It evaluates current evidence linking defensin copy number variation to autoimmune disease (i.e. Crohn’s disease and psoriasis) as well as the contribution CNV has in influencing immune responses to HIV infection.

25 January 2022 in IEEE Access
Verified
Journal Article
Open access
MKMahmood Khalsan
Mahmood Khalsan
Lee MachadoLee Machado
Lee Machado
EAEman Salih Al-Shamery
Eman Salih Al-Shamery
SASuraj Ajit
Suraj Ajit
KAKaren Anthony
Karen Anthony
MJMahmood Jasim
Mahmood Jasim
Machine learning approaches are powerful techniques commonly employed for developing cancer prediction models using associated gene expression and mutation data. Our survey provides a comprehensive review of recent cancer studies that have employed gene expression data from several cancer types (breast, lung, kidney, ovarian, liver, central nervous system and gallbladder) for survival prediction,tumor identification and stratification. We also provide an overview of biomarker studies that are associated with these cancer types. The survey captures multiple aspects of machine learning associated cancer studies,including cancer classification, cancer prediction, identification of biomarker genes, microarray, and RNA-Seq data.We discuss the technical issues with current cancer prediction models and the corresponding measurement tools for determining the activity levels of gene expression between cancerous tissues and noncancerous tissues. Additionally, we investigate how identifying putative biomarker gene expression patterns can aid in predicting future risk of cancer and inform the provision of personalized treatment.

15 October 2008 in Blood
Verified
Journal Article
Closed access
PDF file
UPUmaimainthan Palendira
Umaimainthan Palendira
RCRosanna Chinn
Rosanna Chinn
WRWajid Raza
Wajid Raza
KPKaren Piper
Karen Piper
GPGuy Pratt
Guy Pratt
PMPaul Moss
Paul Moss
The bone marrow plays a unique role within the immune system. We compared the phenotype and function of virus-specific CD8+ T cells from matched samples of human peripheral blood and bone marrow. Analysis of virus-specific memory CD8+ T cells showed widely divergent partition of antigen-specific populations between blood and bone marrow. T cells specific for Epstein-Barr virus (EBV) lytic antigens were enriched 3-fold in marrow compared with blood, whereas the response to EBV latent epitopes was equivalent between the 2 compartments. No difference in EBV viral load or expression of the EBV lytic protein was observed between blood and bone marrow. In direct contrast, although cytomegalo-virus (CMV)–specific T cells were the largest virus-specific population within peripheral blood, they were reduced by 60% within marrow. Bone marrow T cells were found to exhibit a unique CCR5+CXCR6+CXCR3− homing phenotype which has not been observed on T cells from other secondary lymphoid organs or peripheral organs. Expression of CCR5 and CXCR6 was higher on EBV-specific T cells within peripheral blood compared with CMV-specific populations. These observations identify a novel bone marrow homing phenotype for CD8+ memory T cells, which necessitates a reevaluation of the magnitude of antigen-specific populations within the lymphoid system.