Back

Modified RNA Extraction Methods to Eliminate Agarose Impurities in Precision-Cut Lung Slices

Rangel, R.; Anderson, S.; DeIuliis, G.; Manning, E. E.; Ahangari, F.; Pandit, A.; Kaminski, N.; Marti-Munoz, J.

2026-02-17 cell biology
10.64898/2026.02.16.705835 bioRxiv
Show abstract

Precision-cut lung slices (PCLS) have emerged as a powerful tool for studying the biology of viable human lung tissue. However, the presence of agarose impurities compromises RNA yield and integrity during the extraction process. We tested whether using an alternative Plant kit RNA extraction method to wash agarose impurities or pre-dissolving agarose from PCLS implementing a dissolving buffer for routine RNA isolation in gel-electrophoresis would improve RNA quantity, quality, and integrity. Our results show that RNA quantity and integrity are highly compromised when using a conventional method of RNA extraction. The plant kit and dissolution of agarose increased the RNA quantity to 0.42{+/-}0.11 and 0.65{+/-}0.17 {micro}g/PCLS (measured by the Qubit) and integrity number to 6.60{+/-}0.59 and 9.13{+/-}0.39 (measured by the Bioanalyzer), respectively. The presence of impurities in conventional and Plant kit extractions misled to an overestimation of the RNA quantity and quality using the NanoDrop. The Plant kit and agarose dissolution showed a significant transcript integrity increase in GUSB (p<0.0001) and COL1A1 (p<0.05) expression, validating these methods over conventional extraction. We encourage laboratories applying PCLS experimentation to implement alternative methods to remove agarose impurities during RNA extraction, as well as to rely on sensitive quantitative techniques, such as the Qubit and Bioanalyzer, for RNA quantification and integrity measurements.

Matching journals

The top 5 journals account for 50% of the predicted probability mass.

1
PLOS ONE
4510 papers in training set
Top 9%
19.0%
2
BioTechniques
24 papers in training set
Top 0.1%
9.3%
3
Current Protocols
13 papers in training set
Top 0.1%
8.4%
4
Journal of Visualized Experiments
30 papers in training set
Top 0.1%
7.3%
5
Scientific Reports
3102 papers in training set
Top 16%
6.5%
50% of probability mass above
6
F1000Research
79 papers in training set
Top 0.3%
4.4%
7
Biology Methods and Protocols
53 papers in training set
Top 0.3%
3.1%
8
Molecular Biology Reports
19 papers in training set
Top 0.1%
2.1%
9
Methods in Ecology and Evolution
160 papers in training set
Top 1%
2.1%
10
Physiological Reports
35 papers in training set
Top 0.4%
1.9%
11
MethodsX
14 papers in training set
Top 0.1%
1.7%
12
BMC Genomics
328 papers in training set
Top 3%
1.4%
13
American Journal of Physiology-Lung Cellular and Molecular Physiology
39 papers in training set
Top 0.3%
1.3%
14
Frontiers in Cell and Developmental Biology
218 papers in training set
Top 6%
1.3%
15
Genes
126 papers in training set
Top 2%
1.0%
16
SLAS Technology
11 papers in training set
Top 0.2%
1.0%
17
STAR Protocols
15 papers in training set
Top 0.1%
0.9%
18
Plant Methods
39 papers in training set
Top 0.6%
0.9%
19
Frontiers in Digital Health
20 papers in training set
Top 1%
0.8%
20
Wellcome Open Research
57 papers in training set
Top 2%
0.8%
21
Talanta
12 papers in training set
Top 0.7%
0.8%
22
Nanoscale
39 papers in training set
Top 0.3%
0.8%
23
Analytical Chemistry
205 papers in training set
Top 2%
0.8%
24
Molecular Therapy - Methods & Clinical Development
38 papers in training set
Top 0.5%
0.8%
25
International Journal of Molecular Sciences
453 papers in training set
Top 15%
0.8%
26
Life
27 papers in training set
Top 0.4%
0.8%
27
Diagnostics
48 papers in training set
Top 2%
0.8%
28
Poultry Science
10 papers in training set
Top 0.2%
0.8%
29
PeerJ
261 papers in training set
Top 16%
0.7%
30
American Journal of Respiratory Cell and Molecular Biology
38 papers in training set
Top 0.8%
0.7%