Evidence map›Paper›PMID 35315229›Full record

ArticleSmall (Weinheim an der Bergstrasse, Germany)2022

Deep Learning-Assisted Automated Single Cell Electroporation Platform for Effective Genetic Manipulation of Hard-to-Transfect Cells.

Prithvijit Mukherjee, Cesar A Patino, Nibir Pathak, Vincent Lemaitre, Horacio D Espinosa

Open access · hybridAbstract read
In one paragraph

Article in Small (Weinheim an der Bergstrasse, Germany), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
5.3field-weighted citation impact, top 4% 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

13 citing papers in PubMed, 39 citations in OpenAlex.

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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

5 authors at 2 institutions in 1 country.

Prithvijit MukherjeeDepartment of Mechanical Engineering, Northwestern University, Evanston, IL, 60208, USA.
Cesar A PatinoDepartment of Mechanical Engineering, Northwestern University, Evanston, IL, 60208, USA.
Nibir PathakDepartment of Mechanical Engineering, Northwestern University, Evanston, IL, 60208, USA.
Vincent LemaitreiNfinitesimal LLC, Skokie, IL, 60077, USA.
Horacio D EspinosaDepartment of Mechanical Engineering, Northwestern University, Evanston, IL, 60208, USA.ORCID 0000-0002-1907-3213
Northwestern University · USInfinitesimal (United States) · US

Funding

A Microfluidic Device for Temporal Live-Cell Analysis of Intracellular BiomoleculesR21GM132709 · NIGMS · NORTHWESTERN UNIVERSITY · PI ESPINOSA, HORACIO DANTE DANTE · 2019 to 2020
$416k
High-throughput single-cell transfection system for gene editing and isogenic iPS cell line generationR43GM128500 · NIGMS · INFINITESIMAL, LLC · PI MUKHERJEE, PRITHVIJIT · 2018 to 2018
$149k
NIGMS NIH HHS R21 GM132709NIGMS NIH HHS R43 GM128500
6 · The paper itself

Abstract

Genome engineering of cells using CRISPR/Cas systems has opened new avenues for pharmacological screening and investigating the molecular mechanisms of disease. A critical step in many such studies is the intracellular delivery of the gene editing machinery and the subsequent manipulation of cells. However, these workflows often involve processes such as bulk electroporation for intracellular delivery and fluorescence activated cell sorting for cell isolation that can be harsh to sensitive cell types such as human-induced pluripotent stem cells (hiPSCs). This often leads to poor viability and low overall efficacy, requiring the use of large starting samples. In this work, a fully automated version of the nanofountain probe electroporation (NFP-E) system, a nanopipette-based single-cell electroporation method is presented that provides superior cell viability and efficiency compared to traditional methods. The automated system utilizes a deep convolutional network to identify cell locations and a cell-nanopipette contact algorithm to position the nanopipette over each cell for the application of electroporation pulses. The automated NFP-E is combined with microconfinement arrays for cell isolation to demonstrate a workflow that can be used for CRISPR/Cas9 gene editing and cell tracking with potential applications in screening studies and isogenic cell line generation.

Indexed as

Deep LearningInduced Pluripotent Stem CellsCRISPR-Cas SystemsElectroporationGene EditingHumansCRISPR/Cas9deep learninghuman-induced pluripotent stem cells (hiPSCs)intracellular deliverysingle-cell electroporation

Identifiers

PMID35315229
PMCPMC9119920
OpenAlexW4220946322

What OpenQuestion holds

Textmetadata
LicenceTDM
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.