Costs to heap leach gold ore tailings in Karamoja region of Uganda
Genetic engineering
1. The Design of Antisense RNA from
Alpha Thalassemia HBA1 & HBA2
Gene Deletion
GROUP MEMBERS
SOHEL RANA (18MSB0003)
MOVVA HARSHAVARDHAN (18MSB0041)
TANVI SINGH(18MSB0044)
RITOBRATA SENGUPTA(18MSB0048)
SANGEETHA M (18MSB0052)
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9. Introduction: Designing Anti-Sense RNA
• Antisense RNA is a single stranded RNA that is complementary to a
protein coding messenger RNA (mRNA) with which it hybridizes, and
there by blocks its translation into protein.
• One way of designing Antisense RNA in vitro is by annealing mechanism.
• On the other hand, the basal biochemical mechanisms underlying the
relationship between RNA structure and efficient annealing could allow
one to derive more general rules for the design of in vivo effective
antisense RNA.
10. Methodology
Diagram 1: Diagrammatic representation of flow of work
Literature search in order to find out the genes (HBA1 & HBA2) responsible
for Alpha Thalassemia
Selection of coding sequence of Homo sapiens chromosome 16, GRCh38.p12 Primary
Assembly for HBA1 gene on NCBI
Retrieval of FASTA format for HBA1 gene using NCBI database
Prediction of efficient siRNA candidates for the FASTA sequence using
OligoWalk web server
11. Methodology
• Online Tool Used:
• In order to facilitate Antisense RNA designing , FASTA
sequence of HBA1 gene was retrieved using NCBI
database.
• The National Centre for Biotechnology Information is
part of the United States National Library of Medicine, a
branch of the National Institutes of Health.
• The computational tool used to perform Antisense RNA
designing was OligoWalk.
• OligoWalk is a web server constructed to predict efficient
siRNA candidates for an mRNA sequence on the basis of
the statistical mechanics of the siRNA-target interaction.
16. References
• SCZAKIEL, G. (1997). The Design of Antisense RNA. Antisense and
Nucleic Acid Drug Development, 7(4), 439–444.
• Huesken D, Lange J, Mickanin C, Weiler J, Asselbergs F, Warner J,
Meloon B, Engel S, Rosenberg A, Cohen D, Labow M, Reinhardt M,
Natt F, Hall J. (2005). Design of a genome-wide siRNA library using an
artificial neural network. Nat Biotechnol 23:995-1001.