
DELINEATION OF PARTIAL CHROMOSOMAL ABNORMALITIES IN EARLY PREGNANCY LOSSES Bozhinovski Gj1, Terzikj M1, Kubelka-Sabit K2,3, Plaseska-Karanfilska D1,* *Corresponding Author: *Corresponding Author: Prof. Dijana Plaseska-Karanfilska, M.D., Ph.D. Research Centre for Genetic Engineering and Biotechnology “Georgi D. Efremov,” Macedonian Academy of Sciences and Arts, Krste Misirkov 2, 1000, Skopje, Republic of North Macedonia. Tel: +389-2-3235-410 E-mail: dijana@manu.edu.mk page: 23
|
MATERIALS AND METHODS
Study group and selection of samples
In a prior investigation, partial chromosomal abnor-
malities were identified in 16 out of 900 analyzed EPL
samples [4]. More recently, an additional four samples
exhibiting partial chromosomal abnormalities were de-
tected and incorporated into the current analysis, bringing
the total number of EPL samples included in this study to
20. These samples consisted of single chromosomal ab-
normalities in half, while the other half exhibited double
chromosomal abnormalities.
All EPL samples referred to the Research Center
for Genetic Engineering and Biotechnology “Georgi D.
Efremov”, at the Macedonian Academy of Sciences and
Arts, Skopje for analysis of chromosomal aneuploidies
were selected by a collaborative team of gynecologists
and pathologists. Standard histopathological analysis was
performed on all EPLs, as described previously [14, 15].
To ensure ethical compliance, written informed consent
was obtained from all study participants, and the research
protocol received approval from the institutional ethics
committee (Macedonian Academy of Sciences and Arts,
09-1047/6 from 04.05.2016).
All EPL samples were processed using standard phe-
nol-chloroform or automated extraction methods to obtain
genomic DNA for further analysis. To initially exclude
maternal contamination and to screen for common ane-
uploidies, we employed quantitative fluorescent polymer-
ase chain reaction (QF-PCR) with a panel of short tandem
repeat (STR) markers targeting chromosomes 13, 18, 21,
and the sex chromosomes [16]. This method allowed for
rapid detection of trisomies and monosomies involving
chromosomes 13, 18, 21 and X, as well as triploidies. To
complement QF-PCR, multiplex ligation-dependent probe
amplification (MLPA), using P036-Subtelomere Mix 1 and
P070-Subtelomere Mix 2B probemixes, was implemented
to identify chromosomal imbalances on all chromosomes.
Array comparative genomic
hybridization (aCGH)
To further elucidate the genomic architecture of the
observed partial chromosomal abnormalities, array com-
parative genomic hybridization (aCGH) analysis was con-
ducted following Agilent Technologies’ SureTag Complete
DNA Labeling Kit (Agilent Technologies, Santa Clara,
CA, USA). Genomic DNA extracted from the analyzed
samples, along with sex-matched control DNA, was enzy-
matically fragmented using the restriction enzymes AluI
and RsaI to ensure uniform DNA fragment sizes. Subse-
quently, the fragmented DNA samples were fluorescently
labeled: the experimental DNA was labeled with Cyanine
5 (Cy5), while the control DNA was labeled with Cyanine
3 (Cy3). After purification, the labeled experimental and
control samples were combined and co-hybridized onto
Agilent Technologies’ CGH Constitutional G3 4x180k
microarrays. Following hybridization, data acquisition was
performed using Agilent Technologies’ DNA microarray
scanner with surescan technology, ensuring accurate cap-
ture of fluorescence signals. The resulting data were subse-
quently processed and analyzed using Agilent’s Genomic
Workbench software platform. This analysis provided
a comprehensive visualization of CNVs, with detailed
genomic annotations based on the UCSC hg19 genome
assembly, facilitating precise mapping and interpretation
of the chromosomal imbalances observed in the study.
Identifying Recurrent Chromosomal Regions
and Gene Ontology (GO) enrichment analysis
To gain insights into the genetic factors underlying
early pregnancy loss, we conducted a comprehensive anal-
ysis of a total of 32 chromosomal abnormalities detected by
aCGH in 20 EPLs with partial chromosomal abnormalities.
We have established a criterion for identifying recurrent
chromosomal regions: a chromosomal region, included
in deletion or duplication, had to be observed in more
than two EPLs. We determined the smallest overlapping
region (SOR) for each recurrent chromosomal region.
This approach enabled us to pinpoint the specific genes
and pathways that are likely involved in the pathogenesis
of early pregnancy loss.
To gain a deeper understanding of the biological func-
tions and processes associated with the identified genes,
we conducted a Gene Ontology (GO) enrichment analysis
utilizing the Panther software [12]. This analysis compares
the frequency of specific GO terms within a group of genes
involved in SORs. Significantly enriched GO terms were
visualized using a bar plot, thus providing a clear and intui-
tive way to interpret the results of the enrichment analysis
and identify the biological functions and processes and
that are most likely to be involved in EPL.
|
|
|
|



 |
Number 27 VOL. 27 (2), 2024 |
Number 27 VOL. 27 (1), 2024 |
Number 26 Number 26 VOL. 26(2), 2023 All in one |
Number 26 VOL. 26(2), 2023 |
Number 26 VOL. 26, 2023 Supplement |
Number 26 VOL. 26(1), 2023 |
Number 25 VOL. 25(2), 2022 |
Number 25 VOL. 25 (1), 2022 |
Number 24 VOL. 24(2), 2021 |
Number 24 VOL. 24(1), 2021 |
Number 23 VOL. 23(2), 2020 |
Number 22 VOL. 22(2), 2019 |
Number 22 VOL. 22(1), 2019 |
Number 22 VOL. 22, 2019 Supplement |
Number 21 VOL. 21(2), 2018 |
Number 21 VOL. 21 (1), 2018 |
Number 21 VOL. 21, 2018 Supplement |
Number 20 VOL. 20 (2), 2017 |
Number 20 VOL. 20 (1), 2017 |
Number 19 VOL. 19 (2), 2016 |
Number 19 VOL. 19 (1), 2016 |
Number 18 VOL. 18 (2), 2015 |
Number 18 VOL. 18 (1), 2015 |
Number 17 VOL. 17 (2), 2014 |
Number 17 VOL. 17 (1), 2014 |
Number 16 VOL. 16 (2), 2013 |
Number 16 VOL. 16 (1), 2013 |
Number 15 VOL. 15 (2), 2012 |
Number 15 VOL. 15, 2012 Supplement |
Number 15 Vol. 15 (1), 2012 |
Number 14 14 - Vol. 14 (2), 2011 |
Number 14 The 9th Balkan Congress of Medical Genetics |
Number 14 14 - Vol. 14 (1), 2011 |
Number 13 Vol. 13 (2), 2010 |
Number 13 Vol.13 (1), 2010 |
Number 12 Vol.12 (2), 2009 |
Number 12 Vol.12 (1), 2009 |
Number 11 Vol.11 (2),2008 |
Number 11 Vol.11 (1),2008 |
Number 10 Vol.10 (2), 2007 |
Number 10 10 (1),2007 |
Number 9 1&2, 2006 |
Number 9 3&4, 2006 |
Number 8 1&2, 2005 |
Number 8 3&4, 2004 |
Number 7 1&2, 2004 |
Number 6 3&4, 2003 |
Number 6 1&2, 2003 |
Number 5 3&4, 2002 |
Number 5 1&2, 2002 |
Number 4 Vol.3 (4), 2000 |
Number 4 Vol.2 (4), 1999 |
Number 4 Vol.1 (4), 1998 |
Number 4 3&4, 2001 |
Number 4 1&2, 2001 |
Number 3 Vol.3 (3), 2000 |
Number 3 Vol.2 (3), 1999 |
Number 3 Vol.1 (3), 1998 |
Number 2 Vol.3(2), 2000 |
Number 2 Vol.1 (2), 1998 |
Number 2 Vol.2 (2), 1999 |
Number 1 Vol.3 (1), 2000 |
Number 1 Vol.2 (1), 1999 |
Number 1 Vol.1 (1), 1998 |
|
|