Evidence map›Paper›PMID 38783988›Full record

ArticleBiology methods & protocols2024

A highly sensitive stem-loop RT-qPCR method to study siRNA intracellular pharmacokinetics and pharmacodynamics.

Lin Chen, Caroline Bosmajian, Sukyung Woo

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Article in Biology methods & protocols, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Lin ChenDepartment of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, University at Buffalo, State University of New York, Buffalo, NY 14214, United States.
Caroline BosmajianDepartment of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, University at Buffalo, State University of New York, Buffalo, NY 14214, United States.
Sukyung WooDepartment of Pharmaceutical Sciences, School of Pharmacy and Pharmaceutical Sciences, University at Buffalo, State University of New York, Buffalo, NY 14214, United States.ORCID https://orcid.org/0000-0003-3932-7185

Funding

Targeting ovarian cancer spheroid formation and metabolic adaptation by APJ inhibitionR01CA258546 · NCI · STATE UNIVERSITY OF NEW YORK AT BUFFALO · PI Sukyung Woo · 2022 to 2026
$2.0M
NCI NIH HHS R01 CA258546
6 · The paper itself

Abstract

Small interfering RNA (siRNA) is a powerful tool for sequence-specific silencing of disease-related genes. In this study, we established and validated a stem-loop reverse transcription-quantitative polymerase chain reaction (RT-qPCR) method applicable for both chemically unmodified and modified siRNA, aiming to elucidate mechanistic intracellular pharmacokinetic and pharmacodynamic (PK/PD) properties of siRNA. We conducted a comprehensive evaluation of factors affecting intracellular siRNA quantification. Our study revealed that immobilization-based siRNA extraction introduced high variation, making it unsuitable for absolute quantification. Conversely, direct cell lysis followed by stem-loop RT-qPCR demonstrated excellent reproducibility, with a quantification range from 0.0002 to 20 femtomole (fmole) for unmodified siRNA and 0.02 to 20 fmole for modified siRNA. The design of a 6-bp overlapping RT primer facilitated the distinction of full-length antisense from its 3'-metabolites, and pre-annealing of antisense to RT primer enhanced sensitivity and reproducibility. Differences in siRNA loss during storage and sample processing were noted among microcentrifuge tubes from various manufacturers. Endogenous miR-16 served as a reference for normalizing cytoplasmic siRNA, while protein concentration post-immunoprecipitation lysis was used to normalize RNA-induced silencing complex (RISC)-loaded siRNA levels. This method successfully enabled a detailed characterization of the time profiles of cytoplasmic and RISC-loaded siRNA, advancing the

Indexed as

intracellular pharmacokineticsRISC loadingsiRNAstem-loop RT-qPCR

Identifiers

PMID38783988
PMCPMC11112049

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.