1. Identification of plasma biomarker candidates in glioblastoma using an antibody-array-based proteomic approachKlemen Zupančič, Andrej Blejec, Ana Herman, Matija Veber, Urška Verbovšek, Marjan Koršič, Miomir Knežević, Primož Rožman, Tamara Lah Turnšek, Kristina Gruden, Helena Motaln, 2014, original scientific article Abstract: Background. Glioblastoma multiforme (GBM) is a brain tumour with a very high patient mortality rate, with a median survival of 47 weeks. This might be improved by the identification of novel diagnostic, prognostic and predictive therapy-response biomarkers, preferentially through the monitoring of the patient blood. The aim of this study was to define the impact of GBM in terms of alterations of the plasma protein levels in these patients. Materials and methods. We used a commercially available antibody array that includes 656 antibodies to analyse blood plasma samples from 17 healthy volunteers in comparison with 17 blood plasma samples from patients with GBM. Results. We identified 11 plasma proteins that are statistically most strongly associated with the presence of GBM. These proteins belong to three functional signalling pathways: T-cell signalling and immune responses; cell adhesion and migration; and cell-cycle control and apoptosis. Thus, we can consider this identified set of proteins as potential diagnostic biomarker candidates for GBM. In addition, a set of 16 plasma proteins were significantly associated with the overall survival of these patients with GBM. Guanine nucleotide binding protein alpha (GNAO1) was associated with both GBM presence and survival of patients with GBM. Conclusions. Antibody array analysis represents a useful tool for the screening of plasma samples for potential cancer biomarker candidates in small-scale exploratory experiments; however, clinical validation of these candidates requires their further evaluation in a larger study on an independent cohort of patients.
Keywords: glioblastoma, proteomics, biomarker
Published in DiRROS: 16.04.2024; Views: 76; Downloads: 42
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2. Morphological characteristics of young and old murine hematopoietic stem cell niches, as modeled in vitroMojca Justin, Ema Rogac Randl, Veno Kononenko, Matej Hočevar, Damjana Drobne, Primož Rožman, 2023, original scientific article Abstract: The hematopoietic stem cell (HSC) niche undergoes detrimental changes with age. The molecular differences between young and
old niches are well studied and understood; however, young and old niches have not yet been extensively characterized in terms of
morphology. In the present work, a 2D stromal model of young and old HSC niches isolated from bone marrow was investigated
using light and scanning electron microscopy (SEM) to characterize cell density after one, two, or three weeks of culturing, cell
shape, and cell surface morphological features. Our work is aimed at identifying morphological differences between young and
old niche cells that could be used to discriminate between their respective murine HSC niches. The results show several age-
specific morphological characteristics. The old niches differ from the young ones in terms of lower cell proliferating capacity,
increased cell size with a flattened appearance, increased number of adipocytes, and the presence of tunneling nanotubes. In
addition, proliferating cell clusters are present in the young niches but not in the old niches. Together, these characteristics
could be used as a relatively simple and reliable tool to discriminate between young and old murine HSC niches and as a
complementary approach to imaging with specific cellular markers.
Keywords: bone marrow, hematoopetic stem cell niche, aging, adipocytes, scanning electron microscopy
Published in DiRROS: 26.01.2024; Views: 210; Downloads: 104
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