Alpha-sarcoglycan Antibodies

Alpha-sarcoglycan (SGCA)

Part of the sarcoglycan complex, a subcomplex of the dystrophin-glycoprotein complex which forms a link between the F-actin cytoskeleton and the extracellular matrix. .

Gene Information

Human
Gene Name:	SGCA
Uniprot:	Q16586
Entrez:	6442

Family

Belongs to:
sarcoglycan alpha/epsilon family

Alternative Names

50-DAG; Adhalin; ADL; alphaSarcoglycan; alpha-Sarcoglycan; DAG2; DMDA2; DMDA250kD DAG; Dystroglycan-2; LGMD2D; LGMD2Dalpha (50kD dystrophin-associated glycoprotein); sarcoglycan, alpha (50kDa dystrophin-associated glycoprotein); SCARMD1; SGCA

Molecular Weight

Mass (kDA):
42.875 kDA

Genomic Context

Human
Location:	17q21.33
Sequence:	17; NC_000017.11 (50165517..50175928)

Tissue Specificity

Most strongly expressed in skeletal muscle. Also expressed in cardiac muscle and, at much lower levels, in lung. In the fetus, most abundant in cardiac muscle and, at lower levels, in lung. Also detected in liver and kidney. Not expressed in brain.

Subcellular Localizations

Cell membrane, sarcolemma; Single-pass type I membrane protein. Cytoplasm, cytoskeleton.

Diseases

• Muscular Dystrophy
• Dystrophy
• Muscular Dystrophies, Limb-girdle
• Sarcoglycanopathies
• Astrocytoma
• Sclerosis
• Neoplasms
• Tuberous Sclerosis
• Subependymal Giant Cell Astrocytoma
• Myopathy
• Brain Neoplasms
• Glioma

• Muscular Dystrophy, Duchenne
• Muscular Dystrophy, Animal
• Fibrosis
• Subependymal Glioma
• Hereditary Diseases
• Malignant Paraganglionic Neoplasm
• Inflammation

Interacting Proteins

• SGTA

Pathways

• Chemotaxis
• Pathogenesis
• Cell Proliferation
• Programmed Cell Death
• Localization
• Cell Death
• Cell Adhesion
• Aging
• Glycosylation
• Regeneration

• Translation
• Aerotaxis
• Cellular Localization
• Chromatin Remodeling

PTMs

• Glycosylation

• Phosphorylation

For details, visit:
bosterbio.com/bosterbio-gene-info-cards/SGCA

Boster Bio - Best Uses Of The SGCA Marker And The Data Analysis Pipeline

This article outlines the SGCA Marker and the Data Analysis Pipeline. We will also explore David Scott's recent article published in Nature Biotech 2013 and David Scott's approach to a data-driven research process. Both of these authors have demonstrated the value of data analysis pipelines and SGCA for bioinformatics. We hope that you enjoy reading this article!

SGCA Marker

The SGCA marker is a protein found in human cells that is essential for the proper functioning of the body's muscles. It is a component of the dystrophin-glycoprotein complex. There are two different types of SGCA: homozygous and heterozygous. The SGCA gene encodes alpha-sarcoglycan, which forms a heterotetramer with other SGs in the sarcolemma. The disease is inherited autosomally, and its frequency is variable between ethnic groups.

Data Analysis Pipeline

Boster Bio's data analysis pipeline combines tools for metagenomic analyses and custom python scripts to generate tables and charts. The data analysis pipeline includes three main blocks that can be used independently or together. The first module enables quality control of sequence reads, including removing reads from control samples and converting sequences to FASTA format. The second module performs taxonomy profiling using genomic sequences.

The data analysis pipeline also includes pre-processing steps to reduce technical variation. The pipeline includes steps to perform quality checks, adapter-sequence clipping, and read counts. Next, the sequences were mapped using the BLASTn-short database and against miRNAs and miRBases. Lastly, the pipeline is compared to miRDeep2 to determine the accuracy of mapping.

Galaxy is an integrated platform that enables non-expert users to generate and analyse NGS data. It includes Miseq, advanced bioinformatics pipelines, and databases. The Galaxy instance is an accessible, user-friendly environment that integrates validated pipelines, tools, and databases, and distributes analysis jobs across a cluster. Each job executed in Galaxy saves the parameters and output to a database for further analysis.

The GDC mRNA quantification pipeline measures gene level expression. It measures STAR as raw read counts, which are then transformed into Fragments per Kilobase of transcript per Million (FPKM), or Transcripts per Million (TPM) and annotated with gene symbol and bio-type. Once the data is processed, Boster Bio's analysis pipeline can generate a detailed report of gene expression.

Nature Biotech 2013

A new gene for a human calpain subunit, SGCA, was recently developed. The researchers designed a pgKLD-CAG-SGCA vector by combining the human calpain3 gene with two gBlock sequences that encode a 3'3xFLAG tag and a P2A sequence. They then ligated these vectors together and created pKLD-CAG-DYSF-CPL.

David Scott

David Scott is a former state senator of Georgia. He served in that position from 1983 to 2002. His major accomplishments during that time included passing a law that gave breast cancer patients autonomy in where they were hospitalized and what type of medical care they received, protecting underground water aquifers, and implementing the Peachcare health insurance program for children. However, his greatest contribution to Georgia's state government may be the SGCA marker he uses to commemorate the state's racial history.

David Scott was born in Aynor, SC on June 27, 1945. His parents moved up to the north to work as live-in domestics. He spent his formative years living with his maternal grandparents in Aynor. He attended Washington Street Elementary School in Scranton, before returning to his maternal grandmother's home when he was ten years old. This history helps explain why David Scott uses the SGCA marker.