Evidence map›Paper›PMID 39763945›Full record

ArticlebioRxiv : the preprint server for biology2024

Single-cell Organelle Extraction with Cellular Indexing.

Trinh Lam, Alison Su, Ana E Gomez Martinez, Anna Fomitcheva-Khartchenko, Amy E Herr

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

5 authors.

Trinh LamDepartment of Bioengineering, University of California, Berkeley, Berkeley, CA 94720, USA.ORCID 0000-0002-2274-6095
Alison SuDepartment of Bioengineering, University of California, Berkeley, Berkeley, CA 94720, USA.
Ana E Gomez MartinezDepartment of Bioengineering, University of California, Berkeley, Berkeley, CA 94720, USA.
Anna Fomitcheva-KhartchenkoDepartment of Bioengineering, University of California, Berkeley, Berkeley, CA 94720, USA.
Amy E HerrDepartment of Bioengineering, University of California, Berkeley, Berkeley, CA 94720, USA.ORCID 0000-0002-6906-2985

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bulk methods to fractionate organelles lack the resolution to capture single-cell heterogeneity. While microfluidic approaches attempt to fractionate organelles at the cellular level, they fail to map each organelle back to its cell of origin-crucial for multiomics applications. To address this, we developed VacTrap, a high-throughput microfluidic device for isolating and spatially indexing single nuclei from mammalian cells. VacTrap consists of three aligned layers: (1) a Bis-gel microwells layer with a 'trapdoors' (BAC-gel) base, fabricated atop a through-hole glass slide; (2) a PDMS microwell layer to receive transferred nuclei; and (3) a vacuum manifold. VacTrap operation begins with cell lysis using DDF to release intact nuclei into the Bis-gel microwells, while cytoplasmic proteins are electrophoresed into the Bis-gel. Upon exposure to DTT and vacuum force, the trapdoors open, allowing nuclei to transfer to the PDMS microwells. VacTrap dissolves the trapdoors within 3-5 minutes and achieve synchronized nuclei transfer with 98% efficiency across 80% of trapdoors in a 256-microwell array, surpassing the <1% efficiency of passive transfer without vacuum. Morphology analysis confirmed preservation of organelle integrity throughout VacTrap operation. By enabling spatial indexing of nuclei back to their original cell, VacTrap provides a robust, high-throughput tool for single-cell multiomics applications.

Indexed as

hydrogelmicrofluidicsmultiomicsorganelleproteomicssingle-cell

Identifiers

PMID39763945
PMCPMC11703196

What OpenQuestion holds

Textmetadata
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.