Araştırma Makalesi

Integrated Bioinformatic Approach for Precision Medicine: Prediction of Human GABRG2 Gene Pathogenic Variants, Characterized with Cellular Pathology and Epilepsy Phenotype Severity

Cilt: 28 Sayı: 3 23 Aralık 2024
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Integrated Bioinformatic Approach for Precision Medicine: Prediction of Human GABRG2 Gene Pathogenic Variants, Characterized with Cellular Pathology and Epilepsy Phenotype Severity

Öz

Interpreting GABRG2 variants of unknown significance hinders epilepsy precision medicine. Using computer algorithms, our study focused on 156 GABRG2 variants from ClinVar, identifying 10 highly pathogenic variants within the γ2 subunit. Integration with patient mutations and mutagenesis studies locates variants within epileptogenic structural cassettes, aiding phenotype severity and cellular pathology characterization. Our results predict milder phenotypes for 3 N-terminus extracellular domain variants and more severe phenotypes for 7 transmembrane domain variants, linked to cellular pathology with reduced cell surface expression and current. Notably, 4 transmembrane domain variants may distort channel conductance. Our research aligns with ACMG/AMP criteria PP3 and PM1.

Anahtar Kelimeler

Kaynakça

  1. [1] Paulsen O, Moser EI 1998 A model of hippocampal memory encoding and retrieval: GABAergic control of synaptic plasticity. Trends Neurosci 21:273-278
  2. [2] Klausberger T, Magill PJ, Marton LF, Roberts JDB, Cobden PM, Buzsaki G, Somogyi P 2003 Brain state- and cell type-specific firing of hippocampal interneurons in vivo. Nature 421 844–8
  3. [3] Freund T. F. 2003 Interneuron Diversity series: Rhythm and mood in perisomatic inhibition. Trends Neurosci. 26(9) 489–95
  4. [4] Paille, V., Fino, E., Du, K., Morera-Herreras, T., Perez, S., Kotaleski, J. H., & Venance, L. 2013 GABAergic circuits control spike-timing-dependent plasticity. J. Neurosci. Off. J. Soc. Neurosci. 33(22), 9353–9363.
  5. [5] Klausberger T. 2009 GABAergic interneurons targeting dendrites of pyramidal cells in the CA1 area of the hippocampus. Eur. J. Neurosci. 30(6) 947–57
  6. [6] Nyíri, G., Freund, T. F., & Somogyi, P. 2001 Input-dependent synaptic targeting of alpha(2)-subunit-containing GABA(A) receptors in synapses of hippocampal pyramidal cells of the rat. Eur. J. Neurosci. 13(3), 428–442.
  7. [7] Klausberger T, Roberts JD, Somogyi P 2002 Cell type- and input-specific differences in the number and subtypes of synaptic GABAA receptors in the hippocampus. J Neurosci 22:2513–2521
  8. [8] Pawelzik H, Hughes DI, Thomson AM (2002) 2002 Physiological and morphological diversity of immunocytochemically defined parvalbumin- and cholecystokinin-positive interneurons in CA1 of the adult rat hippocampus. J Comp Neurol 443:346–367

Ayrıntılar

Birincil Dil

İngilizce

Konular

Bitki Bilimi (Diğer)

Bölüm

Araştırma Makalesi

Yayımlanma Tarihi

23 Aralık 2024

Gönderilme Tarihi

22 Kasım 2023

Kabul Tarihi

30 Ağustos 2024

Yayımlandığı Sayı

Yıl 2024 Cilt: 28 Sayı: 3

Kaynak Göster

APA
Khudhair Abdullah, N., & Arslan, A. (2024). Integrated Bioinformatic Approach for Precision Medicine: Prediction of Human GABRG2 Gene Pathogenic Variants, Characterized with Cellular Pathology and Epilepsy Phenotype Severity. Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi, 28(3), 300-315. https://doi.org/10.19113/sdufenbed.1394695
AMA
1.Khudhair Abdullah N, Arslan A. Integrated Bioinformatic Approach for Precision Medicine: Prediction of Human GABRG2 Gene Pathogenic Variants, Characterized with Cellular Pathology and Epilepsy Phenotype Severity. Süleyman Demirel Üniv. Fen Bilim. Enst. Derg. 2024;28(3):300-315. doi:10.19113/sdufenbed.1394695
Chicago
Khudhair Abdullah, Nabaa, ve Ayla Arslan. 2024. “Integrated Bioinformatic Approach for Precision Medicine: Prediction of Human GABRG2 Gene Pathogenic Variants, Characterized with Cellular Pathology and Epilepsy Phenotype Severity”. Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi 28 (3): 300-315. https://doi.org/10.19113/sdufenbed.1394695.
EndNote
Khudhair Abdullah N, Arslan A (01 Aralık 2024) Integrated Bioinformatic Approach for Precision Medicine: Prediction of Human GABRG2 Gene Pathogenic Variants, Characterized with Cellular Pathology and Epilepsy Phenotype Severity. Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi 28 3 300–315.
IEEE
[1]N. Khudhair Abdullah ve A. Arslan, “Integrated Bioinformatic Approach for Precision Medicine: Prediction of Human GABRG2 Gene Pathogenic Variants, Characterized with Cellular Pathology and Epilepsy Phenotype Severity”, Süleyman Demirel Üniv. Fen Bilim. Enst. Derg., c. 28, sy 3, ss. 300–315, Ara. 2024, doi: 10.19113/sdufenbed.1394695.
ISNAD
Khudhair Abdullah, Nabaa - Arslan, Ayla. “Integrated Bioinformatic Approach for Precision Medicine: Prediction of Human GABRG2 Gene Pathogenic Variants, Characterized with Cellular Pathology and Epilepsy Phenotype Severity”. Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi 28/3 (01 Aralık 2024): 300-315. https://doi.org/10.19113/sdufenbed.1394695.
JAMA
1.Khudhair Abdullah N, Arslan A. Integrated Bioinformatic Approach for Precision Medicine: Prediction of Human GABRG2 Gene Pathogenic Variants, Characterized with Cellular Pathology and Epilepsy Phenotype Severity. Süleyman Demirel Üniv. Fen Bilim. Enst. Derg. 2024;28:300–315.
MLA
Khudhair Abdullah, Nabaa, ve Ayla Arslan. “Integrated Bioinformatic Approach for Precision Medicine: Prediction of Human GABRG2 Gene Pathogenic Variants, Characterized with Cellular Pathology and Epilepsy Phenotype Severity”. Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi, c. 28, sy 3, Aralık 2024, ss. 300-15, doi:10.19113/sdufenbed.1394695.
Vancouver
1.Nabaa Khudhair Abdullah, Ayla Arslan. Integrated Bioinformatic Approach for Precision Medicine: Prediction of Human GABRG2 Gene Pathogenic Variants, Characterized with Cellular Pathology and Epilepsy Phenotype Severity. Süleyman Demirel Üniv. Fen Bilim. Enst. Derg. 01 Aralık 2024;28(3):300-15. doi:10.19113/sdufenbed.1394695

e-ISSN :1308-6529
Linking ISSN (ISSN-L): 1300-7688

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