IN SILICO ANALYSIS OF GENE EXPRESSION PATTERNS DURING EARLY DEVELOPMENT OF XENOPUS LAEVIS

1999 ◽  
Author(s):  
N. POLLET ◽  
H. A. SCHMIDT ◽  
V. GAWANTKA ◽  
C. NIEHRS ◽  
M. VINGRON
Keyword(s):  
Gene Expression ◽  
Xenopus Laevis ◽  
Early Development ◽  
In Silico ◽  
Expression Patterns ◽  
In Silico Analysis ◽  
Gene Expression Patterns ◽  
Silico Analysis

B553 In Silico Analysis of Global Gene Expression in Myeloma CCL: In Search of Stem Cell Genes

2009 ◽  
Vol 9 ◽  
pp. S148
Author(s):  
HE Johnsen ◽  
T Urup ◽  
AD Hoejfeldt ◽  
KB Fogd ◽  
KS Bergkvist ◽  
...  
Keyword(s):  
Gene Expression ◽  
Stem Cell ◽  
In Silico ◽  
In Silico Analysis ◽  
Global Gene Expression ◽  
Silico Analysis

Double hit viral parasitism, polymicrobial CNS residency and perturbed proteostasis in Alzheimer’s disease: A data driven, in silico analysis of gene expression data

2020 ◽  
Vol 127 ◽  
pp. 124-135
Author(s):  
George D. Vavougios ◽  
Christiane Nday ◽  
Sygliti-Henrietta Pelidou ◽  
Sotirios G. Zarogiannis ◽  
Konstantinos I. Gourgoulianis ◽  
...  
Keyword(s):  
Gene Expression ◽  
Alzheimer’S Disease ◽  
Alzheimer's Disease ◽  
Gene Expression Data ◽  
In Silico ◽  
In Silico Analysis ◽  
Data Driven ◽  
Expression Data ◽  
Double Hit ◽  
Silico Analysis

scholarly journals In Silico analysis of Gastric carcinoma Serial Analysis of Gene Expression libraries reveals different profiles associated with ethnicity

2008 ◽  
Vol 7 (1) ◽  
pp. 22 ◽  
Author(s):  
Francisco J Ossandon ◽  
Cynthia Villarroel ◽  
Francisco Aguayo ◽  
Eudocia Santibanez ◽  
Naohide Oue ◽  
...  
Keyword(s):  
Gene Expression ◽  
Gastric Carcinoma ◽  
In Silico ◽  
In Silico Analysis ◽  
Expression Libraries ◽  
Silico Analysis

scholarly journals In silico analysis and verification of S100 gene expression in gastric cancer

BMC Cancer ◽  
2008 ◽  
Vol 8 (1) ◽  
Author(s):  
Ji Liu ◽  
Xue Li ◽  
Guang-Long Dong ◽  
Hong-Wei Zhang ◽  
Dong-Li Chen ◽  
...  
Keyword(s):  
Gene Expression ◽  
Gastric Cancer ◽  
In Silico ◽  
In Silico Analysis ◽  
Silico Analysis ◽  
S100 Gene

scholarly journals The pattern of gene copy number alteration (CNAs) in hepatocellular carcinoma: an in silico analysis

2021 ◽  
Vol 14 (1) ◽  
Author(s):  
Arman Shahrisa ◽  
Maryam Tahmasebi-Birgani ◽  
Hossein Ansari ◽  
Zahra Mohammadi ◽  
Vinicio Carloni ◽  
...  
Keyword(s):  
Gene Expression ◽  
Hepatocellular Carcinoma ◽  
In Silico ◽  
Copy Number ◽  
Copy Number Alteration ◽  
Gene Copy Number ◽  
In Silico Analysis ◽  
Gene Copy ◽  
Sequencing Data ◽  
Silico Analysis

Abstract Background Hepatocellular carcinoma (HCC) is the most common type of liver cancer that occurs predominantly in patients with previous liver conditions. In the absence of an ideal screening modality, HCC is usually diagnosed at an advanced stage. Recent studies show that loss or gain of genomic materials can activate the oncogenes or inactivate the tumor suppressor genes to predispose cells toward carcinogenesis. Here, we evaluated both the copy number alteration (CNA) and RNA sequencing data of 361 HCC samples in order to locate the frequently altered chromosomal regions and identify the affected genes. Results Our data show that the chr1q and chr8p are two hotspot regions for genomic amplifications and deletions respectively. Among the amplified genes, YY1AP1 (chr1q22) possessed the largest correlation between CNA and gene expression. Moreover, it showed a positive correlation between CNA and tumor grade. Regarding deleted genes, CHMP7 (chr8p21.3) possessed the largest correlation between CNA and gene expression. Protein products of both genes interact with other cellular proteins to carry out various functional roles. These include ASH1L, ZNF496, YY1, ZMYM4, CHMP4A, CHMP5, CHMP2A and CHMP3, some of which are well-known cancer-related genes. Conclusions Our in-silico analysis demonstrates the importance of copy number alterations in the pathology of HCC. These findings open a door for future studies that evaluate our results by performing additional experiments.

scholarly journals In silico analysis of gene expression in V3a and the superior occipital gyrus: Relevance for migraine

2020 ◽  
Vol 3 ◽  
pp. 251581632096440
Author(s):  
Marco Lisicki ◽  
Mariela Carpinella ◽  
Gianluca Coppola ◽  
Tatiana Castro Zamparella ◽  
Emiliano Ruiz-Romagnoli ◽  
...  
Keyword(s):  
Gene Expression ◽  
In Silico ◽  
Visual Motion ◽  
Neuronal Excitability ◽  
Cell Metabolism ◽  
Receptor Gene ◽  
In Silico Analysis ◽  
Visual Motion Perception ◽  
Expression Levels ◽  
Silico Analysis

Introduction: Visual manifestations are the most prominent non-painful features of migraine. During the last decades, visual area V3a has gathered attention of headache scientists because of its apparent implication on aura initiation, photophobia and cortical hyper-responsiveness related to visual motion perception. In this hypothesis-generating study, we performed an in silico analysis of gene expression in left V3a and the cerebral gyrus that harbours it (left superior occipital gyrus (lSOG)) searching for transcriptomic patterns that could be linked with migraine’s pathophysiology. Materials and methods: Neurotransmitter receptor gene expression levels in left V3a were extracted from validated brain mRNA expression models using a probabilistic volumetric mask of this region. The primary visual cortex and other sensory cortices (auditory, olfactory and somatosensory) were used as comparators. Genome-wide transcriptomic differences between the gyrus harbouring left V3a (lSOG) and the rest of the cerebral cortex were assessed using the Allen Brain Institute Human RNA micro array atlas/database. Results: Adrenergic receptor β1, dopaminergic receptor D3 and serotoninergic receptors 1B, 1F and 2A, which have been previously implicated in migraine’s pathophysiology and/or treatment, showed significantly higher expression levels on left V3a. Transcriptomic differences between the lSOG harbouring V3a and the rest of the cortex comprise genes whose products are involved in neuronal excitability (SLC17A6, KCNS1, KCNG1 and GABRQ), activation of multiple signal transduction pathways (MET) and cell metabolism (SPHKAP via its interaction with cAMP-dependent protein kinase). Conclusions: Focal gene expression analysis of V3a suggests some clues about its implication in migraine. Further studies are warranted.

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