Evidence map›Paper›PMID 42239137›Full record

ArticlebioRxiv : the preprint server for biology2026

CUPID-seq enables highly multiplexed amplicon sequencing via combinatorial in-line dual indexing.

Beverly Fu, Rachel L Porter, Handuo Shi, Allison C Ea, Ana M Espeleta, Achuthan Ambat, David A Relman, Kerwyn Casey Huang, Katherine S Xue

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2026. 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

9 authors.

Beverly FuDepartment of Bioengineering, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0002-2345-6911
Rachel L PorterBiophysics Training Program, Stanford, CA 94305, USA.ORCID 0000-0002-2594-9349
Handuo ShiDepartment of Bioengineering, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0002-1688-6905
Allison C EaDepartment of Molecular Biology and Biochemistry, University of California, Irvine, Irvine, CA 92697, USA.ORCID 0009-0004-6088-2348
Ana M EspeletaCenter for Complex Biological Systems, University of California, Irvine, Irvine, CA 92697, USA.ORCID 0009-0000-5928-9660
Achuthan AmbatDepartment of Bioengineering, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0002-8880-8092
David A RelmanDepartment of Microbiology and Immunology, Stanford University School of Medicine, Stanford, CA 94305, USA.ORCID 0000-0001-8331-1354
Kerwyn Casey HuangDepartment of Bioengineering, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0002-8043-8138
Katherine S XueDepartment of Molecular Biology and Biochemistry, University of California, Irvine, Irvine, CA 92697, USA.ORCID 0000-0002-4094-3615

Funding

MOLECULAR BASIS OF HOST-PARASITE INTERACTIONT32AI007328 · NIAID · STANFORD UNIVERSITY · PI JUSTIN L SONNENBURG · 1987 to 2026
$11.9M
Mentor Training to enhance mentorship in an interdisciplinary training programT32GM136624 · NIGMS · UNIVERSITY OF CALIFORNIA-IRVINE · PI Arthur D Lander, Qing Nie · 2020 to 2026
$3.1M
Illuminating the dark matter of the human small intestinal microbiotaDP1DK147449 · NIDDK · STANFORD UNIVERSITY · PI KERWYN C. HUANG · 2025 to 2026
$2.2M
Household transmission of the human gut microbiota after antibiotic exposureR21AI168860 · NIAID · STANFORD UNIVERSITY · PI RELMAN, DAVID A. · 2023 to 2024
$426k
NIAID NIH HHS R21 AI168860NIAID NIH HHS T32 AI007328NIDDK NIH HHS DP1 DK147449NIGMS NIH HHS T32 GM136624
6 · The paper itself

Abstract

Targeted amplicon sequencing is widely used to profile genetic variation in defined genomic regions. In microbial ecology, for example, amplicon sequencing of the 16S and 18S ribosomal RNA genes has been transformative for characterizing microbial communities. However, on high-capacity sequencing platforms with patterned flow cells, throughput is constrained by the requirement for unique dual indexes (UDIs), which increases primer costs and limits the number of samples that can be pooled per sequencing run. Here, we introduce CUPID-seq (Combinatorial, Unique, Phased, In-line Dual-indexed sequencing), a highly multiplexed amplicon-sequencing strategy that increases scalability through combinatorial indexing across two rounds of PCR. CUPID-seq introduces phased, in-line UDIs during Round 1 gene-specific amplification, enabling multiple samples to share the same Illumina UDI during Round 2 PCR while remaining uniquely identifiable. This design reduces upfront costs by up to 85% and reduces library preparation time and reagent use by up to 40%. We develop and validate CUPID-seq primers targeting the 16S V4 region and provide a computational workflow for demultiplexing in-line indexes. Although optimized here for 16S-based profiling, CUPID-seq can be readily adapted to other user-defined amplicons. By reducing cost and increasing multiplexing capacity, CUPID-seq enables users to leverage high-throughput sequencing platforms more effectively across diverse biological contexts.

Identifiers

PMID42239137
PMCPMC13228431

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LicenceCC BY
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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.