Evidence map›Paper›PMID 40851466›Full record

ArticleBioanalysis2025

Examining hybridization-based LC-MS methodologies for the bioanalysis of siRNA analytes.

Karan Agrawal, Wenying Jian, Long Yuan

Abstract read
In one paragraph

Article in Bioanalysis, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Karan AgrawalBioanalysis Discovery & Development Sciences, Johnson & Johnson, Spring House, PA, USA.ORCID 0000-0002-9536-9489
Wenying JianBioanalysis Discovery & Development Sciences, Johnson & Johnson, Spring House, PA, USA.ORCID 0000-0002-8731-981X
Long YuanDrug Metabolism and Pharmacokinetics, Biogen, Cambridge, MA, USA.ORCID 0000-0003-1863-2308

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hybridization-based LC-MS is rapidly emerging as a bioanalytical platform for oligonucleotides, particularly when both high sensitivity and high specificity are needed. When used to analyze single-stranded antisense oligonucleotide (ASO) therapeutics, the workflows are relatively well established, but the analysis of double-stranded small interfering RNA (siRNA) therapeutics presents additional challenges due to competition for binding from the sense strand. In the last two years, the authors have independently published extensively on hybridization-based LC-MS bioanalysis of siRNA therapeutics, and now we take a step back to evaluate the progress we have made and offer our thoughts on the future of this platform. We touch upon aspects of the sample preparation and analytical process that can either be improved upon, made more efficient, or expanded to maximize the information that can be gained from a single sample. Additionally, we discuss how hybridization-based LC-MS compares to other common oligonucleotide bioanalytical workflows, and its potential to become a frontline assay platform for use in supporting regulatory submissions. Overall, we are excited about the potential hybridization-based LC-MS has demonstrated as a bioanalytical platform and are eager to begin the conversation on where this workflow goes next.

Indexed as

Mass SpectrometryNucleic Acid HybridizationRNA, Small InterferingChromatography, LiquidHumansLiquid Chromatography-Mass SpectrometryRNA, Small Interferingcapture probeHybridizationLC-MSoligonucleotidessmall interfering RNA (siRNA)

Identifiers

PMID40851466
PMCPMC12416169

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.