Richard Drake

Prof. Richard Drake


Research Focus & Metrics

Academic Career Length

32Years (1995-Present)

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

Representative Publications

View All Publications
3 September 2014 in PLOS ONE
Verified
Journal Article
Open access
PDF file
TPThomas W Powers
Thomas W Powers
BNBenjamin A. Neely
Benjamin A. Neely
YSYuan Shao
Yuan Shao
HTHuiyuan Tang
Huiyuan Tang
DTDean A Troyer
Dean A Troyer
RDRichard Drake
Richard Drake
A recently developed matrix-assisted laser desorption/ionization imaging mass spectrometry (MALDI-IMS) method to spatially profile the location and distribution of multiple N-linked glycan species in frozen tissues has been extended and improved for the direct analysis of glycans in clinically derived formalin-fixed paraffin-embedded (FFPE) tissues. Formalin-fixed tissues from normal mouse kidney, human pancreatic and prostate cancers, and a human hepatocellular carcinoma tissue microarray were processed by antigen retrieval followed by on-tissue digestion with peptide N-glycosidase F. The released N-glycans were detected by MALDI-IMS analysis, and the structural composition of a subset of glycans could be verified directly by on-tissue collision-induced fragmentation. Other structural assignments were confirmed by off-tissue permethylation analysis combined with multiple database comparisons. Imaging of mouse kidney tissue sections demonstrates specific tissue distributions of major cellular N-linked glycoforms in the cortex and medulla. Differential tissue distribution of N-linked glycoforms was also observed in the other tissue types. The efficacy of using MALDI-IMS glycan profiling to distinguish tumor from non-tumor tissues in a tumor microarray format is also demonstrated. This MALDI-IMS workflow has the potential to be applied to any FFPE tissue block or tissue microarray to enable higher throughput analysis of the global changes in N-glycosylation associated with cancers.

3 October 2013 in Analytical Chemistry
Verified
Journal Article
Closed access
TPThomas W. Powers
Thomas W. Powers
EJE. Ellen Jones
E. Ellen Jones
LBLucy R. Betesh
Lucy R. Betesh
PRPatrick R. Romano
Patrick R. Romano
PGPeng Gao
Peng Gao
RDRichard Drake
Richard Drake

27 March 2013 in Proteomics
Verified
Journal Article
Closed access
PDF file
SPSimona Principe
Simona Principe
EJE. Ellen Jones
E. Ellen Jones
YKYunee Kim
Yunee Kim
ASAnkit Sinha
Ankit Sinha
JNJulius O. Nyalwidhe
Julius O. Nyalwidhe
RDRichard Drake
Richard Drake

1 January 2017
Verified
Book Chapter
Closed access
RDRichard Drake
Richard Drake
TPT W Powers
T W Powers
EJE E Jones
E E Jones
EBE Bruner
E Bruner
AMA S Mehta
A S Mehta
PAP M Angel
P M Angel

8 December 2020 in Molecular & Cellular Proteomics
Verified
Journal Article
Open access
CMColin Thane McDowell
Colin Thane McDowell
ZKZachary Klamer
Zachary Klamer
JHJohnathan Hall
Johnathan Hall
CWConnor A. West
Connor A. West
LWLuke Wisniewski
Luke Wisniewski
RDRichard Drake
Richard Drake
The early detection of pancreatic ductal adenocarcinoma (PDAC) is a complex clinical obstacle yet is key to improving the overall likelihood of patient survival. Current and prospective carbohydrate biomarkers carbohydrate antigen 19-9 (CA19-9) and sialylated tumor-related antigen (sTRA) are sufficient for surveilling disease progression yet are not approved for delineating PDAC from other abdominal cancers and noncancerous pancreatic pathologies. To further understand these glycan epitopes, an imaging mass spectrometry (IMS) approach was used to assess the N-glycome of the human pancreas and pancreatic cancer in a cohort of patients with PDAC represented by tissue microarrays and whole-tissue sections. Orthogonally, these same tissues were characterized by multiround immunofluorescence that defined expression of CA19-9 and sTRA as well as other lectins toward carbohydrate epitopes with the potential to improve PDAC diagnosis. These analyses revealed distinct differences not only in N-glycan spatial localization across both healthy and diseased tissues but importantly between different biomarker-categorized tissue samples. Unique sulfated biantennary N-glycans were detected specifically in normal pancreatic islets. N-glycans from CA19-9-expressing tissues tended to be biantennary, triantennary, and tetra-antennary structures with both core and terminal fucose residues and bisecting GlcNAc. These N-glycans were detected in less abundance in sTRA-expressing tumor tissues, which favored triantennary and tetra-antennary structures with polylactosamine extensions. Increased sialylation of N-glycans was detected in all tumor tissues. A candidate new biomarker derived from IMS was further explored by fluorescence staining with selected lectins on the same tissues. The lectins confirmed the expression of the epitopes in cancer cells and revealed different tumor-associated staining patterns between glycans with bisecting GlcNAc and those with terminal GlcNAc. Thus, the combination of lectin-immunohistochemistry and lectin-IMS techniques produces more complete information for tumor classification than the individual analyses alone. These findings potentiate the development of early assessment technologies to rapidly and specifically identify PDAC in the clinic that may directly impact patient outcomes.

25 July 2019 in Expert Review of Proteomics
Verified
Journal Article
Closed access
DSDanielle Scott
Danielle Scott
RDRichard Drake
Richard Drake
Introduction: For decades, the role of glycans and glycoproteins in the progression of breast cancer and other cancers have been evaluated. Through extensive studies focused on elucidating the biological functions of glycosylation, researchers have been able to implicate alterations in these functions to tumor formation and metastasis. Areas covered: In this review, we summarize how changes in glycosylation are associated with tumorigenesis, with emphasis on breast cancers. An overview of the changes in N-linked and O-linked glycans associated with breast cancer tumors and biofluids are described. Recent advances in glycomics are emphasized in the context of continuing to decipher the glycosylation changes associated with breast cancer progression. Expert opinion: While changes in glycosylation have been studied in breast cancer for many years, the clinical relevance of these studies has been limited. This reflects the inherent biological and clinical heterogeneity of breast cancers. Glycomics analysis lags behind the advances in genomics and proteomics, but new approaches are emerging. A summary of known glycosylation changes associated with breast cancer is necessary to implement new findings in the context of clinical outcomes and therapeutic strategies. A better understanding of the dynamics of tumor and immune glycosylation is critical to improving emerging immunotherapeutic treatments.