Primer Design Using Polymerase Chain Reaction for SNPs Analysis in SLC22A1 rs622342 Encoding OCT1 as Metformin Main Transporter
Bibliographic record
Abstract
Organic Cation Transporter 1 (OCT1) is the primary transporter of metformin mainly located in hepatocytes, which plays an important role in metformin action to inhibit gluconeogenesis so as to reduce blood glucose. Genetic polymorphism of SLC22A1 that encodes OCT1, one of which is rs622342, has been widely reported and proven to decrease the antidiabetic effect of metformin. This study aimed to design primers and to obtain an optimum condition for polymerase chain reaction (PCR) process that can detect the genetic polymorphism of SLC22A1 rs622342. Primers were computationally designed in primer 3 webpage and analyzed with Primer BLAST and Oligo Analyzer. Optimization of PCR condition was conducted for temperatures of denaturation, annealing, and elongation as well as for the number of cycles in PCR process. Sensitivity test was performed on PCR condition using a variety of volumes and DNA template qualities undergoing multiple freeze-thaw cycles. The obtained pair, forward primer (5’- CAG AGA GAA TCA GTG AGC TGT G-3’) and reverse primer (5’- CCC AGG CTG GTC TTT TTA AG-3’), was proven to be capable of amplifying DNA sequence containing SNPs in rs622342 at 96°C denaturation, 60°C annealing, and 72°C elongation temperatures with a 30-cycle iteration. Such PCR condition could amplify DNA with 0.2 µL of template volume and 7 freeze-thaw cycles. Therefore, in addition to the selected primer pairs and PCR condition to analyze SNPs in rs622342, this study also recommends that the volume of DNA template having undergone multiple freeze-thawing be increased if the amplicon PCR products are unqualified.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.007 | 0.009 |
| Meta-epidemiology (narrow) | 0.005 | 0.004 |
| Meta-epidemiology (broad) | 0.006 | 0.004 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.002 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.006 |
| Insufficient payload (model declined to judge) | 0.030 | 0.017 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".