Monthly Archives: July 2016

Tiny gemstones advance nanoscale imaging

Low Res Edit 010620 July 2016:

A research team at the ARC Centre of Excellence for Nanoscale BioPhotonics (CNBP) – led by Dr Philipp Reineck (pictured) from RMIT University’s School of Science – tested ruby and diamond particles, more than a thousand times smaller than the diameter of a hair, alongside other nanoparticles for use in biological imaging, and found that they have a higher degree of stability, critical to achieving imaging success. You can read more about it in the online publication ‘Science meets Business’.

Dr Hannah Brown receives award at SSR2016

Hannah-Brown20 July 2016:

Congratulations to CNBP researcher Dr Hannah Brown who has been awarded the Australia/New Zealand best regional abstract award at the Society for the Study of Reproduction conference in San Diego, July 2016.

The annual conference is the premier research meeting in Reproductive Biology with well over a thousand delegates in attendance.

Her abstract, entitled “Diabetes: dramatically altering the health of the pre-implantation embryo and reproductive tract” continues her ground-breaking work in metaboloepigenetics.


Best poster award at CIOP 2016

Jiawen-Li_2_web19 July 2016:

Dr. Jiawen Li presented her team’s work at the 8th International Conference on Information Optics and Photonics (CIOP 2016) in Shanghai, July 17-29 and was awarded best poster award.

This award was based on research work by CNBP researchers Jiawen Li, Bryden Quirk, Rodney Kirk, Robert McLaughlin, et al. with the poster titled, “Application of 3D printing technology in manufacturing miniaturized lenses for endoscopic probes.”


N-glycan MALDI mass spectrometry imaging analysis

Arun213 July 2016:

CNBP researchers have released a science paper investigating how N-glycan MALDI mass spectrometry imaging analysis is able to differentiate and delineate tissues as observed in a formalin-fixed ovarian cancer section.

Journal: Molecular and Cellular Proteomics.

Publication title: N-glycan MALDI Imaging Mass Spectrometry on Formalin-Fixed Paraffin-Embedded Tissue Enables the Delineation of Ovarian Cancer Tissues.

Authors: Arun V Everest-Dass (pictured top left), Matthew T Briggs, Gurjeet Kaur, Martin K Oehler, Peter Hoffmann, Nicolle H Packer.

Abstract:  Ovarian cancer is a fatal gynaecological malignancy in adult women with a five-year overall survival rate of only 30%. Glycomic and glycoproteomic profiling studies have reported extensive protein glycosylation pattern alterations in ovarian cancer. Therefore, spatio-temporal investigation of these glycosylation changes may unearth tissue-specific changes that occur in the development and progression of ovarian cancer. A novel method for investigating tissue-specific N-linked glycans is using matrix-assisted laser desorption/ionization (MALDI) mass spectrometry imaging (MSI) on formalin-fixed paraffin-embedded (FFPE) tissue sections that can spatially profile N-glycan compositions released from proteins in tissue-specific regions. In this study, tissue regions of interest (e.g. tumor, stroma, adipose tissue and necrotic areas) were isolated from FFPE tissue sections of advanced serous ovarian cancers (n=3). PGC-LC-ESI-MS/MS and MALDI
-MSI were used as complementary techniques to firstly generate structural information on the tissue-specific glycans in order to then obtain high resolution images of the glycan structure distribution in ovarian cancer tissue. The N-linked glycan repertoires carried by the proteins in these tissue regions were structurally characterized for the first time in FFPE ovarian cancer tissue regions, using enzymatic peptide-N-glycosidase F (PNGase F) release of N-glycans. The released glycans were analyzed by porous graphitized carbon liquid chromatography (PGC-LC) and collision induced electrospray negative mode MS fragmentation analysis. The N-glycan profiles identified by this analysis were then used to determine the location and distribution of each N-glycan on FFPE ovarian cancer sections that were treated with PNGase F using high resolution MALDI-MSI. A tissue-specific distribution of N-glycan structures identified particular regions of the ovarian cancer sections. For example, high mannose glycans were predominantly expressed in the tumor tissue region whilst complex/hybrid N-glycans were significantly abundant in the intervening stroma. Therefore, tumor and non-tumor tissue regions were clearly demarcated solely on their N-glycan structure distributions.

The paper is available online.