Evidence map›Paper›PMID 35908100›Full record

ArticleCommunications biology2022

See-N-Seq: RNA sequencing of target single cells identified by microscopy via micropatterning of hydrogel porosity.

Jeong Hyun Lee, Emily S Park, Jane Ru Choi, Kerryn Matthews, Alice V Lam, Xiaoyan Deng, Simon P Duffy, Hongshen Ma

Open access · goldAbstract read
In one paragraph

Article in Communications biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.1field-weighted citation impact, top 58% of its field
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

2 citing papers in PubMed, 1 citations in OpenAlex.

  1. Article
  2. Review
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

8 authors at 2 institutions in 1 country.

Jeong Hyun LeeDepartment of Mechanical Engineering, University of British Columbia, Vancouver, BC, Canada.
Emily S ParkDepartment of Mechanical Engineering, University of British Columbia, Vancouver, BC, Canada.ORCID 0000-0003-1745-7413
Jane Ru ChoiDepartment of Mechanical Engineering, University of British Columbia, Vancouver, BC, Canada.ORCID 0000-0002-1537-6989
Kerryn MatthewsDepartment of Mechanical Engineering, University of British Columbia, Vancouver, BC, Canada.
Alice V LamDepartment of Mechanical Engineering, University of British Columbia, Vancouver, BC, Canada.
Xiaoyan DengDepartment of Mechanical Engineering, University of British Columbia, Vancouver, BC, Canada.
Simon P DuffyDepartment of Mechanical Engineering, University of British Columbia, Vancouver, BC, Canada.
Hongshen MaDepartment of Mechanical Engineering, University of British Columbia, Vancouver, BC, Canada. hongma@mech.ubc.ca.ORCID 0000-0001-5459-6493
University of British Columbia · CAUniversity of British Columbia Hospital · CA

Funding

CIHR 322375CIHR 381129
6 · The paper itself

Abstract

Single cell RNA sequencing has the potential to elucidate transcriptional programs underlying key cellular phenotypes and behaviors. However, many cell phenotypes are incompatible with indiscriminate single cell sequencing because they are rare, transient, or can only be identified by imaging. Existing methods for isolating cells based on imaging for single cell sequencing are technically challenging, time-consuming, and prone to loss because of the need to physically transport single cells. Here, we developed See-N-Seq, a method to rapidly screen cells in microwell plates in order to isolate RNA from specific single cells without needing to physically extract each cell. Our approach involves encapsulating the cell sample in a micropatterned hydrogel with spatially varying porosity to selectively expose specific cells for targeted RNA extraction. Extracted RNA can then be captured, barcoded, reverse transcribed, amplified, and sequenced at high-depth. We used See-N-Seq to isolate and sequence RNA from cell-cell conjugates forming an immunological synapse between T-cells and antigen presenting cells. In the hours after synapsing, we found time-dependent bifurcation of single cell transcriptomic profiles towards Type 1 and Type 2 helper T-cells lineages. Our results demonstrate how See-N-Seq can be used to associate transcriptomic data with specific functions and behaviors in single cells.

Indexed as

High-Throughput Nucleotide SequencingHydrogelsMicroscopyPorosityRNASequence Analysis, RNAHydrogelsRNA

Identifiers

PMID35908100
PMCPMC9338959
OpenAlexW4288802240

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.