Evidence map›Paper›PMID 37323631›Full record

ArticleBio-protocol2023

Automated 384-well SYBR Green Expression Array for Optimization of Human Induced Pluripotent Stem Cell Differentiation.

Max Y Chen, Laurin Heinrich, Faria Zafar, Kamilla Sedov, Birgitt Schüle

Open access · diamondAbstract read
In one paragraph

Article in Bio-protocol, 2023. 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, top 75% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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 1 institution in 1 country.

Max Y ChenDepartment of Pathology, Stanford University School of Medicine, Stanford, CA, USA.
Laurin HeinrichDepartment of Pathology, Stanford University School of Medicine, Stanford, CA, USA.
Faria ZafarDepartment of Pathology, Stanford University School of Medicine, Stanford, CA, USA.
Kamilla SedovDepartment of Pathology, Stanford University School of Medicine, Stanford, CA, USA.
Birgitt SchüleDepartment of Pathology, Stanford University School of Medicine, Stanford, CA, USA.
Stanford University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cell populations and tissues exhibit unique gene expression profiles, which allow for characterizing and distinguishing cellular subtypes. Monitoring gene expression of cell type-specific markers can indicate cell status such as proliferation, stress, quiescence, or maturation. Quantitative reverse transcriptase PCR (qRT-PCR) allows quantifying RNA expression of cell type-specific markers and distinguishing one cell type from another. However, qRT-PCR methods such as TaqMan technology require fluorescent reporters to characterize target genes and are challenging to scale up as they need different probes for each reaction. Bulk or single-cell RNA transcriptomics is time-consuming and expensive. Processing RNA sequencing data can take several weeks, which is not optimal for quality control and monitoring gene expression, e.g., during a differentiation paradigm of induced pluripotent stem cells (iPSCs) into a specialized cell type. A more cost-effective assay is based on SYBR Green technology. SYBR Green is a nucleic acid dye that binds to double-stranded DNA, absorbs blue light at 497 nm, and emits green light at 520 nm up to 1,000-fold upon intercalation with double-stranded DNA. Amplification of a region of interest can be quantified based on the level of fluorescence intensity when normalized to a housekeeping gene and compared to control conditions. Previously, we established a SYBR Green qRT-PCR protocol to characterize samples using a limited set of markers plated on a 96-well plate. Here, we optimize the process and increase throughput to a 384-well format and compare mRNA expression to distinguish iPSC-derived neuronal subtypes from each other by increasing the number of genes, cell types, and differentiation time points. In this protocol, we develop the following: i) using the command-line version of Primer3 software, we design primers more easily and quickly for the gene of interest; ii) using a 384-well plate format, electronic multichannel pipettes, and pipetting robots, we analyze four times more genes on a single plate while using the same volume of reagents as in a 96-well plate. The advantages of this protocol are the increased throughput of this SYBR Green assay while limiting pipetting errors/inconsistencies, reagent use, cost, and time. Graphical overview.

Indexed as

384-well formatAutomationcDNAGene expressionQuantitative polymerase chain reaction (qRT-PCR)RNASYBR Green

Identifiers

PMID37323631
PMCPMC10262079
OpenAlexW4379399780

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.