Evidence map›Paper›PMID 39763829›Full record

ArticlebioRxiv : the preprint server for biology2024

Nanocoding: Lipid Nanoparticle Barcoding for Multiplexed Single-Cell RNA Sequencing.

Yujun Feng, Donglai Chen, Catherine C Applegate, Natalia Y Gonzalez Medina, Chia-Wei Kuo, Opeyemi H Arogundade, Chris L Wright, Fangxiu Xu, Jenny Drnevich, Andrew M Smith

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2024. 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

5 · Who and what money

Authors and funding

10 authors.

Yujun Feng
Donglai Chen
Catherine C Applegate
Natalia Y Gonzalez Medina
Chia-Wei Kuo
Opeyemi H Arogundade
Chris L Wright
Fangxiu Xu
Jenny Drnevich

Funding

The epigenetic regulation of inflammation in tissue repair and vascular diseaseR35HL167143 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Katherine Ann Gallagher · 2023 to 2026
$4.2M
Notch signaling in diabetic woundsR01DK127531 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI GALLAGHER, KATHERINE ANN · 2021 to 2024
$2.5M
Nanomedicine-Based Targeting of Inflammatory Macrophages in Diabetic Wound RepairR01DK131782 · NIDDK · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI Katherine Ann Gallagher, Andrew Michael Smith · 2022 to 2026
$2.4M
Targeted Drug Delivery to Adipose Tissue Macrophages in ObesityR01DK112251 · NIDDK · UNIVERSITY OF ILLINOIS AT URBANA-CHAMPAIGN · PI SMITH, ANDREW MICHAEL, SWANSON, KELLY S · 2016 to 2020
$2.1M
Epigenetic Regulation of Prostaglandin E2 (PGE2) Synthesis Alters Macrophage Function to Promote Inflammation and Impair Diabetic Wound HealingR01DK124290 · NIDDK · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI GALLAGHER, KATHERINE ANN, MOORE, BETHANY B. · 2020 to 2023
$1.8M
NHLBI NIH HHS R35 HL167143NIDDK NIH HHS R01 DK112251NIDDK NIH HHS R01 DK124290NIDDK NIH HHS R01 DK127531NIDDK NIH HHS R01 DK131782
6 · The paper itself

Abstract

Sample multiplexing is an emerging method in single-cell RNA sequencing (scRNA-seq) that addresses high costs and batch effects. Current multiplexing schemes use DNA labels to barcode cell samples but are limited in their stability and extent of labeling across heterogeneous cell populations. Here, we introduce Nanocoding using lipid nanoparticles (LNPs) for high barcode labeling density in multiplexed scRNA-seq. LNPs reduce dependencies on cell surface labeling mechanisms due to multiple controllable means of cell uptake, amplifying barcode loading 10-100-fold and allowing both protection and efficient release by dissolution. In cultured cell lines and heterogeneous cells from tissue digests, Nanocoding occurs in 40 minutes with stability after sample mixing and requires only commercially available reagents without novel chemical modifications. In spleen digests, 6-plex barcoded samples show minimal unlabeled cells, with all barcodes giving bimodal count distributions. Challenging samples containing lipid-rich debris and heterogeneous cells from adipose tissue of obese rodents show more than 95% labeling with all known subtypes identified. Using Nanocoding, we investigate gene expression changes related to aging in adipose tissue, profiling cells that could not be readily identified with current direct conjugate methods using lipid or antibody conjugates. This ease of generating and tuning these constructs may afford efficient and robust whole-sample multiplexing with minimal sample crosstalk.

Identifiers

PMID39763829
PMCPMC11702565

What OpenQuestion holds

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Registered trials

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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.