Evidence map›Paper›PMID 39443484›Full record

ArticleNature communications2024

Overloading And unpacKing (OAK) - droplet-based combinatorial indexing for ultra-high throughput single-cell multiomic profiling.

Bing Wu, Hayley M Bennett, Xin Ye, Akshayalakshmi Sridhar, Celine Eidenschenk, Christine Everett, Evgeniya V Nazarova, Hsu-Hsin Chen, Ivana K Kim, Margaret Deangelis and 10 more

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Single-cell insights into plant growth, adaptation, and evolution.Journal of integrative plant biology · 2026
    Review
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  4. Genome-wide single-cell perturbation screens with VIPerturb-seq.bioRxiv : the preprint server for biology · 2026
    Article
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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

20 authors.

Bing WuDepartment of Proteomic and Genomic Technologies, Genentech, South San Francisco, CA, USA.
Hayley M BennettDepartment of Proteomic and Genomic Technologies, Genentech, South San Francisco, CA, USA.ORCID 0000-0001-8879-2855
Xin YeDepartment of Discovery Oncology, Genentech, South San Francisco, CA, USA.
Akshayalakshmi SridharDepartment of Human Pathobiology & OMNI Reverse Translation, Genentech, South San Francisco, CA, USA.
Celine EidenschenkDepartment of Functional Genomics, Genentech, South San Francisco, CA, USA.
Christine EverettDepartment of Functional Genomics, Genentech, South San Francisco, CA, USA.
Evgeniya V NazarovaDepartment of Immunology Discovery, Genentech, South San Francisco, CA, USA.
Hsu-Hsin ChenDepartment of Human Pathobiology & OMNI Reverse Translation, Genentech, South San Francisco, CA, USA.
Ivana K KimRetina Service, Massachusetts Eye & Ear, Department of Ophthalmology, Harvard Medical School, Boston, MA, USA.ORCID 0000-0003-0310-6129
Margaret DeangelisDepartment of Ophthalmology, Ross Eye Institute; Department of Biochemistry; Neuroscience Graduate Program; Genetics, Genomics and Bioinformatics Graduate Program, Jacobs School of Medicine and Biomedical Sciences, State University of New York, University at Buffalo, Buffalo, NY, USA.
Leah A OwenDepartment of Ophthalmology and Visual Sciences, University of Utah School of Medicine, The University of Utah, Salt Lake City, UT, USA.
Cynthia ChenDepartment of Proteomic and Genomic Technologies, Genentech, South San Francisco, CA, USA.
Julia LauDepartment of Proteomic and Genomic Technologies, Genentech, South San Francisco, CA, USA.
Minyi ShiDepartment of Proteomic and Genomic Technologies, Genentech, South San Francisco, CA, USA.
Jessica M LundDepartment of Proteomic and Genomic Technologies, Genentech, South San Francisco, CA, USA.
Ana Xavier-MagalhãesDepartment of Proteomic and Genomic Technologies, Genentech, South San Francisco, CA, USA.
Neha PatelDepartment of Proteomic and Genomic Technologies, Genentech, South San Francisco, CA, USA.
Yuxin LiangDepartment of Proteomic and Genomic Technologies, Genentech, South San Francisco, CA, USA.
Zora ModrusanDepartment of Proteomic and Genomic Technologies, Genentech, South San Francisco, CA, USA. modrusan@gene.com.
Spyros DarmanisDepartment of Proteomic and Genomic Technologies, Genentech, South San Francisco, CA, USA. darmanis@gene.com.ORCID 0000-0003-4002-8158

Funding

Deconstructing and Modeling the Single Cell Architecture of the Age-Related Macular Degeneration Retina and RPE/ChoroidR01EY031209 · NEI · UNIVERSITY OF PENNSYLVANIA · PI DEANGELIS, MARGARET M, LI, MINGYAO · 2020 to 2024
$2.7M
NEI NIH HHS R01 EY031209
6 · The paper itself

Abstract

Multiomic profiling of single cells by sequencing is a powerful technique for investigating cellular diversity. Existing droplet-based microfluidic methods produce many cell-free droplets, underutilizing bead barcodes and reagents. Combinatorial indexing on microplates is more efficient for barcoding but labor-intensive. Here we present Overloading And unpacKing (OAK), which uses a droplet-based barcoding system for initial compartmentalization followed by a second aliquoting round to achieve combinatorial indexing. We demonstrate OAK's versatility with single-cell RNA sequencing as well as paired single-nucleus RNA sequencing and accessible chromatin profiling. We further showcase OAK's performance on complex samples, including differentiated bronchial epithelial cells and primary retinal tissue. Finally, we examine transcriptomic responses of over 400,000 melanoma cells to a RAF inhibitor, belvarafenib, discovering a rare resistant cell population (0.12%). OAK's ultra-high throughput, broad compatibility, high sensitivity, and simplified procedures make it a powerful tool for large-scale molecular analysis, even for rare cells.

Indexed as

High-Throughput Nucleotide SequencingSingle-Cell AnalysisCell Line, TumorGene Expression ProfilingHumansMelanomaSequence Analysis, RNATranscriptome

Identifiers

PMID39443484
PMCPMC11499997

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.