Vol. 26 No. 3 (2026): in Progress
Open Access
Peer Reviewed

Design and Optimization of a CD4 Primer for Quantitative Real-Time PCR (qRT-PCR)

Authors

Puji Oktavia , Andani Eka Putra , Gestina Aliska , Zelly Dia Rofinda , Dwitya Elvira , Dessy Arisanty

DOI:

10.29303/jbt.v26i3.12832

Published:

2026-07-22

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Abstract

Quantitative real-time polymerase chain reaction (qRT-PCR) is being explored as an affordable alternative to flow cytometry for monitoring CD4+ T lymphocytes in HIV-infected patients, but detailed design and validation of CD4-specific primers are rarely reported. To design a CD4-specific primer-probe set for qRT-PCR, assess its in silico specificity, and determine the optimal annealing temperature. A forward primer, reverse primer, and hydrolysis probe targeting CD4 transcript were designed from published CD4 gene sequences. Specificity was evaluated using NCBI Primer-BLAST against the Human mRNA RefSeq database. Optimal annealing temperature was determined using an 8-point thermal gradient (54.0-66.0°C) on a Bio-Rad CFX96 system with SensiFAST™ Probe No-ROX chemistry, comparing Cq values across the gradient. Results: Primer-BLAST confirmed specificity of the forward (20nt, Tm 57.42°C, GC 50.00%) and reverse (24nt, Tm 57.69°C, GC 41.67%) primers, with low self-complementarity (3.00 and 2.00) and no 3' self-complementarity. Cq values were tightly clustered (23.25-23.76) across the gradient; with the lowest Cq (23.25) at 54.8°C. The CD4-specific primer-probe set showed confirmed specificity and robust tolerance across a wide annealing temperature range, with an optimum of 54.8°C, supporting its use as a foundational tool for CD4+ T lymphocyte monitoring where flow cytometry is inaccessible.

Keywords:

Annealing temperature CD4 Primer-BLAST Primer design qRT-PCR

References

Bustin, S. A., Benes, V., Garson, J. A., Hellemans, J., Huggett, J., Kubista, M., ... & Wittwer, C. T. (2009). The MIQE Guidelines: M inimum I nformation for Publication of Q uantitative Real-Time PCR E xperiments. Clin Chem. 55(4):611-622. https://doi.org/10.1373/clinchem.2008.112797.

Bustin, S. A., et al. (2009). The MIQE guidelines: Minimum Information for Publication of Quantitative Real-Time PCR Experiments. Clinical Chemistry, 55(4), 611–622. https://doi.org/10.1373/clinchem.2008.112797

Coelho, A. V. C., Gratton, R., Melo, J. P. B. D., Andrade-Santos, J. L., Guimarães, R. L., Crovella, S., ... & Brandão, L. A. C. (2021). HIV-1 infection transcriptomics: meta-analysis of CD4+ T cells gene expression profiles. Viruses, 13(2), 244. https://doi.org/10.3390/v13020244.

Forootan, A., Sjöback, R., Björkman, J., Sjögreen, B., Linz, L., Kubista, M., & Stahlberg, A. (2017). Methods to determine limit of detection and limit of quantification in quantitative real-time PCR (qPCR). Biomolecular Detection and Quantification, 12, 1–6. https://doi.org/10.1016/j.bdq.2017.04.001

Glencross DK, Aggett HM, Stevens WS, and Mandy F. (2008). African regional external quality assessment for CD4 T-cell enumeration: development, outcomes, and performance of laboratories. Cytometry Part B Clin Cytom. 74B(Suppl. 1):S69-79. doi:10.1002/cyto.b.20397.

Hu, H., Nau, M., Ehrenberg, P., Chenine, A. L., Macedo, C., Zhou, Y., ... & Ratto-Kim, S. (2013). Distinct gene-expression profiles associated with the susceptibility of pathogen-specific CD4 T cells to HIV-1 infection. Blood, The Journal of the American Society of Hematology, 121(7), 1136-1144. https://doi.org/10.1182/blood-2012-07-446278.

Huggett, J. F., Cowen, S., & Foy, C. A. (2015). Considerations for digital PCR as an accurate molecular diagnostic tool. Clinical Chemistry, 61(1), 79–88. https://doi.org/10.1373/clinchem.2014.221366

Lee, M. S., Hanspers, K., Barker, C. S., Korn, A. P., & McCune, J. M. (2004). Gene expression profiles during human CD4+ T cell differentiation. International immunology, 16(8), 1109-1124. https://doi.org/10.1093/intimm/dxh112.

Lynen L, Van Griensven J, and Elliott J. (2010). Monitoring for treatment failure in patients on first-line antiretroviral treatment in resource-constrained settings. Curr Opin HIV AIDS. 5(1):1-5. doi:10.1097/COH.0b013e3283333762.

Nolan, T., Hands, R. E., & Bustin, S. A. (2006). Quantification of mRNA using real-time RT-PCR. Nature Protocols, 1(3), 1559–1582. https://doi.org/10.1038/nprot.2006.236

Tang, Y. W., Schmitz, J. E., Persing, D. H., & Stratton, C. W. (2020). Laboratory diagnosis of COVID-19: Current issues and challenges. Journal of Clinical Microbiology. https://doi.org/10.1128/JCM.00512-20

Taylor SC, Nadeau K, Abbasi M, Lachance C, Nguyen M, and Fenrich J. (2019). The ultimate qPCR experiment: producing publication quality, reproducible data the first time. Trends Biotechnol. 37(7):761-774. doi:10.1016/j.tibtech.2018.12.002.

Taylor, S. C., Nadeau, K., Abbasi, M., Lachance, C., Nguyen, M., & Fenrich, J. (2019). The ultimate qPCR experiment: Producing publication quality, reproducible data the first time. Trends in Biotechnology, 37(7), 761–774. https://doi.org/10.1016/j.tibtech.2018.12.002

Tessema, B., Boldt, A., König, B., Maier, M., & Sack, U. (2022). Flow-cytometry intracellular detection and quantification of Hiv1 P24 antigen and immunocheckpoint molecules in T cells among Hiv/Aids patients. HIV/AIDS (Auckland, NZ), 14, 365. https://doi.org/10.2147/HIV.S374369.

The digital MIQE guidelines update: Minimum information for publication of quantitative digital PCR experiments for 2020. Clinical Chemistry. https://doi.org/10.1093/clinchem/hvaa125

Whale, A. S., Huggett, J. F., Cowen, S., Speirs, V., Shaw, J., Ellison, S., ... & Scott, D. J. (2012). Comparison of microfluidic digital PCR and conventional quantitative PCR for measuring copy number variation. Nucleic acids research, 40(11), e82-e82.

World Health Organization. (2024). HIV/AIDS. Geneva: World Health Organization; Available at: https://www.who.int/news-room/fact-sheets/detail/hiv-aids

Ye J, Coulouris G, Zaretskaya I, Cutcutache I, Rozen S, and Madden TL (2012). Primer-BLAST: a tool to design target-specific primers for polymerase chain reaction. BMC Bioinformatics. 13:134. https://doi.org/10.1186/1471-2105-13-134.

Author Biographies

Puji Oktavia, Andalas University

Author Origin : Indonesia

Gestina Aliska, Universitas Mataram

Author Origin : Indonesia

Zelly Dia Rofinda, Universitas Andalas

Author Origin : Indonesia

Dwitya Elvira, Universitas Andalas

Author Origin : Indonesia

Dessy Arisanty, Universitas Andalas

Author Origin : Indonesia

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How to Cite

Oktavia, P., Eka Putra, A., Aliska, G., Rofinda, Z. D., Elvira, D., & Arisanty, D. (2026). Design and Optimization of a CD4 Primer for Quantitative Real-Time PCR (qRT-PCR). Jurnal Biologi Tropis, 26(3), 587–594. https://doi.org/10.29303/jbt.v26i3.12832

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