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. 2024 May 31;19(5):e0294089. doi: 10.1371/journal.pone.0294089

Evaluation of short-term hair follicle storage conditions for maintenance of RNA integrity

Eilís E Harkin 1, John A Browne 1, Barbara A Murphy 1,*
Editor: Abeer El Wakil2
PMCID: PMC11142484  PMID: 38820307

Abstract

Hair follicles provide an easily accessible tissue for interrogating gene expression for multiple purposes in mammals. RNAlater® is a liquid storage solution that stabilises and preserves cellular RNA, eliminating the need to immediately process or freeze tissue specimens. The manufacturer advises storage of samples at 2-8°C overnight before transfer to –20°C. This study aimed to evaluate RNA integrity in hair follicle samples collected from horses, stabilized in RNAlater®, and stored under three short-term storage conditions. Mane hair samples complete with follicles were collected from four horses at a single time point. Approximately 15 hairs were placed in each of three 2 mL tubes containing 0.75ml RNAlater® solution. Test group A was stored at 4°C for 24-h, then decanted and stored at -20°C. Test groups B and C were stored at 4°C and 19°C (room temperature) respectively for 7 days, then decanted and stored at -20°C. RNA was isolated from all samples and RNA quantity and quality were measured. One-way ANOVA revealed no difference in RNA concentration (A:516 +/-125 ng/ml, B:273+/-93 ng/ml, C:476+/-176 ng/ml;P = 0.2) or quality (A:9.5 +/-0.19, B:9.8+/-0.09, C:9.2+/-0.35 RIN; P = 0.46) between the test groups. There were no group differences in mean Cycle Threshold values from qPCR validation assays confirming high-quality template cDNA. The results suggest that storage of hair follicles for one week in RNAlater® at cool or room temperature conditions will not compromise RNA integrity and will permit extended transport times from remote sampling locations without the need for freezing.

Introduction

The integrity of RNA molecules is critical for research that attempts to capture a snapshot of gene expression at the time of sample collection [1]. Poor sample handling, extended storage and inappropriate storage during the transportation of samples can all cause RNA degradation [2]. It has been proposed that poor RNA quality contributes to inaccurate results in gene expression analysis studies [3]. Good RNA quality is regarded as one of the most important factors in obtaining relevant reliable gene expression data in quantitative (q) PCR investigations [4]. The quality of RNA is assessed by determining the RNA integrity value (RIN), which ranges from 1 (indicating degraded molecules) to 10 (indicating intact molecules) based on evaluating the intactness RNA using RNA electrophoretic measurements and machine learning based algorithm [1].

RNAlater® is an aqueous tissue storage reagent used to stabilize the RNA content of samples and prevent RNA degradation for clinical genomic and transcriptomic research [5].The manufacturer’s product technical information advises that samples should be stored in RNAlater® at 2-8°C overnight before transfer to a -20°C freezer, and that storage at 37°C results in partial RNA degradation after 3 days [6]. However, animal field research is frequently conducted in remote locations or at facilities without access to freezers before or during transportation to a laboratory.

To preserve gene expression at the time of sampling and provide reliable and reproducible gene expression data by qPCR, the integrity of the RNA molecule must be preserved during sample storage with RNAlater® [7]. Live animal tissue collection methods should take into account the efficiency of sample collection, the safety of the researcher, animal welfare, and permit a practical means of sample storage and transport in order to preserve sample quality [8, 9]. All of the above are important factors for consideration in animal research, particularly where sampling occurs at locations distant from a laboratory.

Hair follicles (HF) represent a useful tissue in animal research, as sample collection is less invasive and causes minimal disturbance to the animal, offering a more practical alternative to blood collection that eliminates the need for sedation. Thus, HF can provide sufficient biological material while replacing more stressful and uncomfortable sample collection methods for animals [10, 11]. Hair follicles are also very useful in mammalian research involving recurrent sampling, to avoid repeated invasive biopsies [12]. Hair follicles have been utilised for analysing gene expression in humans, rodents, horses and wildlife populations such as the American pika (Ochotonaprinceps) [1016]. To date, there is limited information on acceptable short-term storage conditions for HF in RNAlater for maintenance of RNA integrity [17, 18]. A previous study of extended human HF storage in RNAlater at different temperatures determined that RNA could be extracted from small numbers of hair follicles, but the integrity of the RNA samples was not evaluated [17].

The aim of this experiment was to evaluate RNA integrity and quantity following equine HF collection, stabilization in RNAlater® and storage at different temperatures for one week prior to RNA isolation.

Materials and methods

This study was conducted in accordance with the ‘Code of Good Practice in Research’ (University College Dublin, Ireland) and ‘The Directive 2010/63/EU of the European Parliament and of the Council on the Protection of Animals used for Scientific Purposes’. The study described qualified for exemption from full ethical review by University College Dublin’s Animal Research Ethics Approval Committee as it met the following criterion for exemption: ‘The study does not involve euthanising a living animal or conducting a procedure on a living animal’, where ‘procedure’ is defined as ‘any use, invasive or non-invasive, of an animal for experimental or other scientific purposes, with known or unknown outcome, or educational purposes, which may cause the animal a level of pain, suffering, distress or lasting harm equivalent to, or higher than, that caused by the introduction of a needle in accordance with good veterinary practice’ in S.I. No. 543/2012—European Union (Protection of Animals used for Scientific Purposes) Regulations 2012.

Four horses of mixed light horse breed, ranging in age from 12–16 years and maintained at University College Dublin Lyons Farm, were used for sample collection. Mane hair samples were collected from four horses at a single time point in October. Three samples were collected from each horse as follows: 20–30 hairs were isolated, held firmly and removed using a quick downward force. Hairs were held to the light to confirm follicle attachment and then inserted into a 2mL tube containing 0.75ml RNAlater® solution, such that the follicles were submerged. The excess hair was trimmed before closing the cap and the tubes stored upright. This process was repeated if more hair follicles were required. One sample from each horse was randomly allocated to each of three test groups. Samples in test group A were stored at 4°C for 24 h, decanted and then stored at -20°C following the manufacturer’s recommended protocol. Test group B was stored at 4°C for 24 h and maintained at 4°C for 7 days. Test group C was stored at 19°C (room temperature) for 24 h, and maintained at 19°C for 7 days. After 7 days, samples in test groups B and C were decanted and stored at -20°C. Removal of the RNAlater solution helps to prevent crystallization upon freezing and potential damage to the RNA molecule.

Hair follicle preparation prior to RNA isolation

The sample tubes were removed from the freezer and placed in a -20°C storage block. Each hair sample was laid out on aluminium foil and a forceps and scissors were used to carefully trim each hair to just below the hair follicle (Fig 1). The trimmed follicles were carefully transferred to a nuclease-free 1.5 ml microcentrifuge tube using forceps. The forceps and scissors were wiped down with RNaseZap (Invitrogen, Waltham, MA, USA) between each sample and a new piece of aluminium foil was used to avoid contamination.

Fig 1. Preparing to trim the hairs above the follicle.

Fig 1

RNA isolation

RNA was isolated using the Quick-RNA™ Microprep Kit (Zymo research, California, USA) as per the manufacturer’s instructions, with some modifications: A single 5mm Qiagen steel bead was added to each tube prior to the addition of RNA Lysis Buffer. Following the addition of the Lysis Buffer the samples were homogenized for 2 minutes at a frequency of 30.0 hertz using the Qiagen TissueLyser system. Following the addition of 400 μL of RNA Wash buffer an additional spin step was carried out for 2 minutes to ensure the removal of any residual wash buffer. The RNA was eluted in 15.0 μL. One uL of the elution solution was used to measure RNA concentration using the NanoDrop Spectrophotometer (Thermo Fisher Scientific, MA, USA). RNA quality was assessed by measuring the RIN values using the Agilent Bioanalyser RNA 6000 (Agilent Technologies, CA, USA).

cDNA conversion

For each sample, 250 ng of RNA was converted to complementary DNA (cDNA) in a 20 μL reaction using the Applied Biosystems High-Capacity cDNA Reverse Transcription Kit (Thermo Fisher) as per the manufacturer’s instructions. A cDNA pool containing 3.0 μL from each sample was prepared and used to generate a 7-point, 1 in 4 serial dilution for the standard curve, positive controls and interpolate calibrators.

Quantitative polymerase chain reaction (qPCR)

Quantitative PCR assays to detect transcript expression for ribosomal protein L19 (RPL19) and H3.3 histone A (H3F3A) using the Applied Biosystems 7500 FAST Sequence Detection system (Thermo Fisher Scientific, MA, USA) and SYBR green chemistry (Bioline, London, UK), were conducted to confirm and validate template cDNA quality. H3F3A and RPL19 were selected as previous studies demonstrated their stability as reference genes in animal studies [19]. Primer design was performed using the PrimerBLAST tool (https://www.ncbi.nlm.nih.gov/tools/primer-blast/) (Table 1) and the efficiencies of the primers were determined using the standard curve method, and were shown to lie between 90% and 110%.

Table 1. Equine primer sequences used for real-time qRT-PCR.

Gene Symbol Forward 5’– 3’ Reverse 5’– 3’
H3F3A CAAACTTCCCTTCCAGCGTC TGGATAGCACACAGGTTGGT
RPLI9 CTGATCATCCGGAAGCCTGT GGCAGTACCCTTTCGCTTAC

The PCR reactions were prepared in duplicate in a 20 μL reaction as per the manufacturer’s instructions (FastStart Universal SYBR Green Master, Roche) using a final concentration of 300 nM for each primer. The thermal cycling parameters involved one cycle at 50°C for 2 minutes, and 95°C for 10 minutes followed by 40 cycles at 95°C for 15 seconds, ending with a 60°C cycle for 1 minute.

Statistical analysis

One-way repeated measures ANOVA was used to assess group differences in RNA quantities, RIN values and qPCR Cycle Threshold (CT) values using Prism 9 version 9.1 for Mac OS. Data are presented as means +/- SEM. A P value of <0.05 was considered significant.

Results

One-way repeated measures ANOVA revealed no difference in RNA concentrations between test groups (A:516 +/-125ng/ml, B:273+/-93ng/ml, C:476+/-176ng/ml; P = 0.2). RIN values for all samples ranged from 8.2–10 demonstrating that the RNA was of high quality and integrity. One-way ANOVA revealed no difference in RNA quality (A:9.5 +/-0.19, B:9.8+/-0.09, C:9.2+/-0.35; P = 0.46) between the test groups. One-way ANOVA revealed no differences between qPCR CT values between test groups for H3F3A (A:21.44+/- 0.86, B:20.63+/-0.22, C:20.26+/-0.57; P = 0.34) or RPL19 (A:19.82+/-0.67, B:19.17+/-0.32, C:19.5+/-0.39; P = 0.7). All data are presented in Table 2.

Table 2. RNA quantity (ng/uL), RNA quality (RIN) and qPCR Cycle Threshold (CT) values for samples stored in RNAlater at -20°C (Group A), 4°C (Group B) and 19°C (Group C) for one week prior to RNA isolation.

Sample Number Horse Number Sample storage temperature RNA (ng/uL) RIN CT value CT value
H3F3A RPL19
1 1 -20°C 446.23 9.4 20.55 19.10
2 2 -20°C 608.88 9 22.61 19.41
3 3 -20°C 798.87 9.9 21.18 20.22
4 4 -20°C 211.31 9.6 21.42 20.53
5 1 4°C 432.85 10 20.67 19.71
6 2 4°C 150.42 9.8 20.31 19.94
7 3 4°C 430.10 9.7 20.68 19.17
8 4 4°C 81.78  9.4 20.85 19.59
9 1 19°C 248.82 9.5 21.57 19.77
10 2 19°C 448.19 9.7 20.52 20.38
11 3 19°C 979.98 8.2 20.99 19.49
12 4 19°C 226.17 9.6 20.26 19.61

Discussion

This study provides the first evaluation of equine hair follicle RNA integrity following short-term storage in RNAlater® at different ambient temperatures. The results demonstrate that there is no negative impact on RNA integrity from hair follicle samples stored at room temperature or cool conditions for a period of one week prior to freezing for long-term storage. The results indicate that RNA integrity is maintained in the stabilisation solution allowing greater flexibility of storage when facilities for freezing samples during field research or transportation are unavailable.

Hair follicles offer a non-invasive and viable source of biological material for research and disease analysis as they contain cells that are a source of RNA required for gene expression profiling [18]. Animal experimentation and health evaluations are often conducted at locations distant from a laboratory with facilities for refrigeration or freezing, and where sample transportation times are lengthy. A study by Neary et al., (2014) showed that hair follicle collection from yaks (Bos Grunniens) could be conducted by an inexperienced handler, and was less invasive and less challenging to transport and store samples compared to venous blood sampling [20]. Hair follicles have also been utilised for the molecular identification of carcinomas [21] and traumatic brain injuries in rodents [22].

Bradley et al., (2005) were among the first to test the stability of RNA from hair follicles at various temperatures and time periods [17]. Similar to this study, HF were stored under 3 different conditions; at room temperature or -20°C for 1, 3, 6 or 12 weeks, or room temperature for 24 h followed by -20°C [17]. Samples were not reported to have been decanted before freezing and an additional buffer was added to the storage solution prior to processing [17]. Assessment of RNA integrity was determined by PCR amplification success of cDNA and assessed visually following separation on 1% agarose gels. This method does not allow for accurate quantification and visibility of gene-specific amplification products on the gels could only estimate concentrations in the range of 0 to >10ng/uL. The low number of follicles per sample (3 or 10 hairs) collected in the study, as well as other differences highlighted in the methodology, may potentially explain some of the failed amplifications observed by the authors for samples stored for 6 and 12 weeks. The current study improves upon the assessment of RNA integrity, albeit over a shorter storage timeframe, which is crucial for accurate quantitative gene expression results [23].

A further study seeking to determine whether intact RNA could be extracted from a small number of plucked human hair follicles reported low ribosomal RNA ratios and found that RIN values were indeterminable in most samples [18]. However, a different RNA extraction protocol to the current study was employed and initial ambient storage temperatures were not reported [18]. While lower numbers of hair follicles were used per sample, it is unclear whether this, the storage conditions or the extraction protocol was the reason for the poorer quality of RNA reported.

Many such studies aim to evaluate gene expression to better understand hair growth in order to provide potential targets for the treatment of human hair loss and other skin conditions [24, 25]. An equine study by Naboulsi et al., (2022), found that keratin-related genes were more plentiful in hair follicle samples than in skin biopsies, making HF an excellent tissue for functional studies on colouration, shape, and growth of hair as these characteristics can be attenuated in skin biopsies [26].

In the current study, lower concentrations of RNA were obtained in samples from Horse 4. Hairs from this horse appeared visibly thicker than the other sampled horses and it is likely that the larger diameter hair shafts may have increased the viscosity of the homogenate and compromised the performance of the RNA isolation kit extraction columns, reducing the concentration of RNA isolated. This highlights the importance of trimming the hairs to just below the follicles and taking care to reduce the number of hairs collected per sample in animals with particularly thick hairs.

As the horses in this study were all exposed to natural changes in environmental photoperiod throughout the year, it is assumed that their hair coats were in the anagen phase of the hair growth cycle at the sampling time in October, in response to the shortening daylight hours that stimulates active growth of the heavier winter coat [27]. As specific breed details for the study horses were unavailable, it is possible that Horse 4 was a more rustic breed. Breed rusticity is suggested to impact the response of the coat to environmental lighting changes such that at the time of sampling, this horse may have had a heavier winter coat and thicker hairs. Despite this observation, the lowest RNA quantity obtained was >1.2 μg when accounting for the elution volume, which is surplus to the requirements of any gene expression assay. These results should help refine methodologies for future animal studies to improve the reliability, repeatability and quantities of RNA achieved.

The small sample size used in this study may have represented a limitation. However, in a relevant previously published study evaluating storage conditions of hair follicles in humans, samples from only two subjects were used and only two replicates per experimental treatments were assessed [17]. Nonetheless, three biological replicates are generally advised in gene expression experiments [28] and a more recent human hair follicle transcriptome profiling study used four subjects [13]. It was therefore decided that samples from four animals maintained in identical conditions and collected at a single time point would be sufficient. Previous published experiments conducted by the research team suggested there would be little variability expected in the biological material collected from each horse [14, 16] such that four represented a suitable sample size for assessment of the sample storage conditions where we were interested only in detecting large differences in relation to RIN values. The minimum acceptable RIN value for an RNAseq analysis from samples derived from human hair was 7 [13]. All but one sample in the current study resulted in RNA with a RIN value less than 9.4.

It would be interesting to evaluate the stability of RNA from samples collected and stored in RNAlater® solution under higher short-term storage temperatures to emulate sample collections from animals in hotter climates. Future studies could be carried out by storing the samples in incubators set at different temperatures and comparing the RNA quality and quantity obtained to samples maintained at the recommended conditions.

Several studies have utilised RNA isolated from HF to interrogate the mammalian circadian clock, an animal’s internal endogenous 24-hour rhythm generator, and the relative expression of specific clock genes has been used to identify the phase of the biological clock and the strength of its synchronisation with the environment [14, 16, 29, 30]. Hair follicles represent a peripheral clock [30] that is synchronised by the master mammalian clock which resides within the suprachiasmatic nucleus (SCN) of the hypothalamus [31, 32]. Peripheral clocks are used as important phase markers of the circadian system’s internal synchrony with the external environment, as the central clock in the SCN is often not easily or humanely accessible [33, 34].

Hair follicles therefore offer an efficient and non-invasive way to assess and monitor a variety of illnesses and ailments associated with circadian misalignment such as mood disorders, cancer, diabetes, cardiovascular disease and obesity [30, 35]. In domesticated and captive animals, numerous species-specific biological requirements for animal well-being may be difficult to assess [33]. In such unnatural environments, evaluating clock gene transcription in HF could be used as a biomarker for circadian irregularities caused by ill health and/or inappropriate environmental management, both of which represent animal welfare concerns [36]. Recently, clock gene expression in HF from racehorses highlighted the impact of stable lighting on circadian rhythmicity in this peripheral clock [16].

Conclusion

We demonstrate that HF can be stored in RNAlater® in a fridge or at room temperature for one week and still provide RNA of excellent quality and quantity for quantitative gene expression analysis. Utilising a straightforward sample collection process, HF provide a convenient tissue for a wide range of functional genomics assays utilising RNA in samples from animals located in remote areas, or for monitoring circadian health and wellness for certain animal groups.

Data Availability

All the data relevant to the experiments described in this manuscript are provided within the manuscript as Tables.

Funding Statement

Funding was received from the Morris Animal Foundation (Colorado, USA). The author BAM is a collaborator on grant number D22EQ-514 awarded to Hartpury University (Gloucestershire, UK). The URL of the funder’s website is https://www.morrisanimalfoundation.org/. The funders did not play any role in the study design, data collection and analysis, decision to publish or preparation of the manuscript.

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Decision Letter 0

Abeer El Wakil

4 Dec 2023

PONE-D-23-34914Evaluation of short-term hair follicle storage conditions for maintenance of RNA integrity.PLOS ONE

Dear Dr. Murphy,

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If you would like to make changes to your financial disclosure, please include your updated statement in your cover letter. Guidelines for resubmitting your figure files are available below the reviewer comments at the end of this letter.

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We look forward to receiving your revised manuscript.

Kind regards,

Abeer El Wakil, PhD

Academic Editor

PLOS ONE

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We will update your Data Availability statement to reflect the information you provide in your cover letter.

3. We note you have included a table to which you do not refer in the text of your manuscript. Please ensure that you refer to Table 1 in your text; if accepted, production will need this reference to link the reader to the Table.

4. Please review your reference list to ensure that it is complete and correct. If you have cited papers that have been retracted, please include the rationale for doing so in the manuscript text, or remove these references and replace them with relevant current references. Any changes to the reference list should be mentioned in the rebuttal letter that accompanies your revised manuscript. If you need to cite a retracted article, indicate the article’s retracted status in the References list and also include a citation and full reference for the retraction notice.

Additional Editor Comments:

The concept of the present study seems interesting. In this work, the authors address an original topic and highlight valid challenges associated with sample collection in remote locations where researchers may not always be in a position to follow optimal transport and storage guidelines. However, the reviewers raised some concerns and I highly recommend the authors to address them precisely before I could deliver a decision on this work.

[Note: HTML markup is below. Please do not edit.]

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #1: Yes

Reviewer #2: Partly

**********

2. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

Reviewer #2: No

**********

3. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: Yes

Reviewer #2: No

**********

4. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #1: Yes

Reviewer #2: Yes

**********

5. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: The authors highlight valid challenges associated with sample collection in remote locations where researchers may not always be in a position to follow optimal transport and storage guidelines. The objective of the study is clearly outlined, the method well described, data appear appropriately analysed and conclusions are supported by the results. Some minor revisions will help to clarify certain aspects of the manuscript. Extra discussion points and recommendations for future research would lend further depth to the discussion section.

Abstract:

Line 65: Clarify if 3 or 4 horses were involved (see comments below).

Introduction:

Please provide references of the 'limited information on acceptable short-term storage conditions' that do exist.

Perhaps the authors could provide a thought on why information on this subject is limited if there is a need for more flexibility in short-term storage of samples.

Materials and Methods:

Please clarify the number of horses used in the study. Three horses are mentioned in lines 65 and 147. Four horses are mentioned in line 146 and four samples per group are listed in Table 2.

Please elaborate on how the sufficient number of samples required for statistical comparison of groups was obtained.

Line 146: Please abbreviate UCD prior to this mention or spell out the college name.

Please provide the time of year the samples were collected.

Please clarify for the reader at this point which group is the one following to manufacturer's recommendation.

Please clarify how 4 and 19 degrees were maintained and measured over 7 days.

Line 182: Please explain why a modification to the manufacturer's instructions was made.

Line 185: Please change µl to µL.

Line 187: Please change uL to µL.

Line 189: Please remove parentheses around RIN.

Line 194: Should it be 20 µL instead of 20 ul (as in line 211)? Please amend if that is the case.

Line 196: Please remove the full stop after '3.0 µL'.

Results:

Line 237-39: Please remove the speculation on why sample 8 yielded lower quantity of RNA from the results section. This needs to be discussed more thoroughly in the discussion section.

Line 241: Please remove the sentence concerning the numerically higher result in group B. The differences between groups are highlighted in the previous sentence. As there was no statistically significant difference between groups the numerically higher value of one group is irrelevant.

Table 2: Please add group names to the table and/or table description. Please include a column showing the horse associated with each sample. It was speculated that sample 8 had thicker hair which may have affected results. If the animal in question had thicker hair than its samples may have had lower results in all groups. As there are a number of samples with lower RNA quantities it would be interesting to see if they were from the same animal.

Discussion section:

Line 288: Remove the word 'to' from 'before to freezing'.

Line 312: Please elaborate on:

a) How thickness was assessed

b) How much thicker hairs in this sample were relative to those from other samples

c) How thickness may have affected results

d) Whether the 'thicker' hair from the animal that provided sample 8 also yielded lower RNA quantities in the other groups

Please discuss which cycle phase (anagen, catagen or telogen) samples may have been in at the time of sample collection. Could samples at a different phase have reacted differently to the different storage treatments?

The authors mention that limited information on this subject has been published so far. Please discuss what future research may be needed to improve the current level of available information. For example:

a) In remote locations with higher ambient temperatures than 19 degrees

b) Should this study be repeated using hair follicles at different hair cycle phases

Reviewer #2: Dear authors,

The topic of your article is certainly interesting as it could provide useful information for sampling in the field.

I also believe that the collection and handling of samples and the extraction of RNA have been done properly.

My main issue is the sample size that you have used and the subsequent conclusions that you draw from that.

With small sample size, it is quite probable to detect only large differences with reasonable power. Small differences might go undetected.

So my first question is why you decided on a sample size of 4. Could you report the power of the experiment so that it is clear that you had reasonable chance to detect differences (if they were there)?

Secondly, from table 2, I cannot infer which horse delivered which samples. Because from the text, I understand that you sample 3 bunches of hair from each of the 4 horses . Is that correct?

If the sampling was done in that way, why not using 'horse' as the second factor in a model. That brings me to the second remark of doing a one-way ANOVA. With horse and treatment, you could do a two way ANOVA which could be more powerful.

And, did you check if assumptions for performing ANOVA were fulfilled (normally distributed residuals, homogeneous variance)?

Finally, and this is more a conceptual remark, you are trying to prove equivalence of your treatment B and C to the standard method of A. This is different from trying to find a difference.

Text is written fluently and the article is concise.

L60. HF can be an easily accessible tissue but this sentence is very general. Not all gene expression in mammals can be interrogated! So this sentence should be rewritten.

L70 and following. to be reconsidered after re-analyzing.

L147 three horses or 4?

L229 I do not really agree with the analysis. See comments above.

**********

6. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #1: No

Reviewer #2: No

**********

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PLoS One. 2024 May 31;19(5):e0294089. doi: 10.1371/journal.pone.0294089.r002

Author response to Decision Letter 0


17 Jan 2024

All responses to the editor and reviewers are contained within the Cover letter which has been uploaded as the Rebuttal letter document.

Attachment

Submitted filename: Rebuttal letter.docx

pone.0294089.s001.docx (31.8KB, docx)

Decision Letter 1

Abeer El Wakil

26 Feb 2024

PONE-D-23-34914R1Evaluation of short-term hair follicle storage conditions for maintenance of RNA integrity.PLOS ONE

Dear Dr. Murphy,

Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process.

Please submit your revised manuscript by Apr 11 2024 11:59PM. If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at plosone@plos.org. When you're ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file.

Please include the following items when submitting your revised manuscript:

  • A rebuttal letter that responds to each point raised by the academic editor and reviewer(s). You should upload this letter as a separate file labeled 'Response to Reviewers'.

  • A marked-up copy of your manuscript that highlights changes made to the original version. You should upload this as a separate file labeled 'Revised Manuscript with Track Changes'.

  • An unmarked version of your revised paper without tracked changes. You should upload this as a separate file labeled 'Manuscript'.

If you would like to make changes to your financial disclosure, please include your updated statement in your cover letter. Guidelines for resubmitting your figure files are available below the reviewer comments at the end of this letter.

If applicable, we recommend that you deposit your laboratory protocols in protocols.io to enhance the reproducibility of your results. Protocols.io assigns your protocol its own identifier (DOI) so that it can be cited independently in the future. For instructions see: https://journals.plos.org/plosone/s/submission-guidelines#loc-laboratory-protocols. Additionally, PLOS ONE offers an option for publishing peer-reviewed Lab Protocol articles, which describe protocols hosted on protocols.io. Read more information on sharing protocols at https://plos.org/protocols?utm_medium=editorial-email&utm_source=authorletters&utm_campaign=protocols.

We look forward to receiving your revised manuscript.

Kind regards,

Abeer El Wakil, PhD

Academic Editor

PLOS ONE

Journal Requirements:

Please review your reference list to ensure that it is complete and correct. If you have cited papers that have been retracted, please include the rationale for doing so in the manuscript text, or remove these references and replace them with relevant current references. Any changes to the reference list should be mentioned in the rebuttal letter that accompanies your revised manuscript. If you need to cite a retracted article, indicate the article’s retracted status in the References list and also include a citation and full reference for the retraction notice.

Additional Editor Comments:

The concept of the present study is interesting, but one of the reviewers still has some concerns that need to be addressed.

[Note: HTML markup is below. Please do not edit.]

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation.

Reviewer #1: All comments have been addressed

Reviewer #2: (No Response)

**********

2. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #1: Yes

Reviewer #2: Partly

**********

3. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #1: Yes

Reviewer #2: No

**********

4. Have the authors made all data underlying the findings in their manuscript fully available?

The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified.

Reviewer #1: Yes

Reviewer #2: Yes

**********

5. Is the manuscript presented in an intelligible fashion and written in standard English?

PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here.

Reviewer #1: Yes

Reviewer #2: Yes

**********

6. Review Comments to the Author

Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters)

Reviewer #1: I thank the authors for their detailed responses. With the edits made I believe the manuscript will be a valuable addition to the scientific literature on this topic.

Reviewer #2: Dear authors,

Thank you for reworking the article.

1) An explanation to the question of availability of the data…

Reviewer #1: Yes

Reviewer #2: No

We are unclear why Reviewer 2 has responded ‘No’ here as all of the data has been

provided in the manuscript.

I initially choose for “No” because the horse ID was not provided. This is now corrected so you have provided all data.

2) I still miss answers to the statistical issues that I raised.

a) I disagree with you on the feasablity of a two-way anova. You have a perfectly crossed design. The 3 levels of factor “storage” are observed in all 4 horses (second factor). Horse can be considered as a blocking-factor.

So you could perfectly fit a 2 way model but assuming there is no interaction between storage*horse or you could use more elaborate models.

Some refs : Applied Linear Statistical Models, Chapter 20 by Kutner et al, https://users.stat.ufl.edu/~winner/sta4211/ALSM_5Ed_Kutner.pdf or

Alin A, Kurt S. Testing non-additivity (interaction) in two-way ANOVA tables with no replication. Statistical Methods in Medical Research. 2006;15(1):63-85. doi:10.1191/0962280206sm426oa

b) On the sample size and the power:

I agree that often for transcriptomics and gene expression a very small number of samples is used. But I guess that is often also because the cost of RNAsequencing is prohibitive.

My point is that you conclude from your experiment “no significant effects between storage methods”. That is true based on your data but it could be due to small sample size and/or low power of the experiment, which would only allow for large effects to be detected.

One option is that you compute the power of the Ftest on your data retrospectively and add this in the discussion. You might have had only sufficient power (80%) to detect differences of the size of 2.5*standard error, based on, for example, TABLE B.12 Table for Determining Sample Size for Analysis of Variance (fixed factor levels model Applied Linear Statistical Models, in https://users.stat.ufl.edu/~winner/sta4211/ALSM_5Ed_Kutner.pdf)

And considering your answer…

“Small differences in RIN value or RNA concentrations for example are not meaningful when such high mean values were achieved in the results. The minimum acceptable RIN value for an RNAseq analysis from samples derived from human hair was 7 (Zhang et al., 2017). All but one sample in the current study resulted in RNA with a RIN value less than 9.4 The average total yield of RNA in the current study was 6,321 ng (mean concentration/uL x 15 uL elution volume. To put this in perspective, Kim et al., (2006) in their study evaluating gene expression in human head hair follicles, yielded total RNA of <20 ng in half of their samples”.

I do agree but why do would you do a statistical analysis (ANOVA) on the data if everything is acceptable?

c) Finally, and this is more a conceptual remark, you are trying to prove equivalence of your treatment B and C to the standard method of A. This is different from trying to find a difference.

.....You answer: "We agree, and believe the results do show equivalence of treatments to the standard

method of A."

But you did not test equivalence statistically so you can not really conclude this from the analysis.

**********

7. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files.

If you choose “no”, your identity will remain anonymous but your review may still be made public.

Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy.

Reviewer #1: Yes: Christiane O'Brien

Reviewer #2: No

**********

[NOTE: If reviewer comments were submitted as an attachment file, they will be attached to this email and accessible via the submission site. Please log into your account, locate the manuscript record, and check for the action link "View Attachments". If this link does not appear, there are no attachment files.]

While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email PLOS at figures@plos.org. Please note that Supporting Information files do not need this step.

PLoS One. 2024 May 31;19(5):e0294089. doi: 10.1371/journal.pone.0294089.r004

Author response to Decision Letter 1


7 Mar 2024

Dear Reviewer,

We thank you for your additional comments which we feel we have now addressed in full as detailed below.

Reviewer #2: Dear authors,

Thank you for reworking the article.

1) An explanation to the question of availability of the data…

Reviewer #1: Yes

Reviewer #2: No

We are unclear why Reviewer 2 has responded ‘No’ here as all of the data has been

provided in the manuscript.

I initially choose for “No” because the horse ID was not provided. This is now corrected so you have provided all data.

Author response: Thank you.

2) I still miss answers to the statistical issues that I raised.

a) I disagree with you on the feasablity of a two-way anova. You have a perfectly crossed design. The 3 levels of factor “storage” are observed in all 4 horses (second factor). Horse can be considered as a blocking-factor.

So you could perfectly fit a 2 way model but assuming there is no interaction between storage*horse or you could use more elaborate models.

Some refs : Applied Linear Statistical Models, Chapter 20 by Kutner et al, https://users.stat.ufl.edu/~winner/sta4211/ALSM_5Ed_Kutner.pdf or

Alin A, Kurt S. Testing non-additivity (interaction) in two-way ANOVA tables with no replication. Statistical Methods in Medical Research. 2006;15(1):63-85. doi:10.1191/0962280206sm426oa

Author response: Respectfully, we have examined in-depth the reference provided by the reviewer and appreciate the points raised, but still do not agree that a two-way ANOVA is appropriate to use here. A two-way ANOVA is used when there are two factors that can contribute variability in the response variable. For example, had we wanted to examine the three storage treatments from samples collected from two groups of horses (e.g. sick versus healthy), or from samples collected from horses at different time points (e.g. morning versus evening), then a two-way ANOVA would be an appropriate model and an interaction between the factors could then be estimated. In the study by Alin and Kurt (2006) cited by the reviewer, two medical data sets are used as examples to explain methods to test interaction in two-way ANOVA tables with no replication. However, in one example three treatments are tested on two different types of rabbit heart (in normal and hypercholesterolemic) and in the second sample, three treatments are tested on three groups of rats. Both of these represent suitable data sets for two-way ANOVA analysis.

We strongly believe that the four horses in this study represent subjects or experimental units, and not a blocking factor. Samples were collected at the same time under the same conditions from each subject. In a completely randomised one-way ANOVA design, subjects would have been randomly assigned to each treatment and this would have required 12 horses to provide a sample size per treatment of n=4. Instead, to reduce inter-individual variability, each horse in this study contributed a sample to each treatment. Based on this, and through further evaluation of the suitability of our statistical method spurred by the reviewer’s points, we see that a repeated measures one-way ANOVA is more appropriate. This compares the mean differences between the three treatments and also accounts for inter-individual variation between subjects. We have re-run all of the statistical tests for each parameter using repeated measures one-way ANOVA. While P values have changed slightly, the overall finding of no difference between treatments for any parameter holds.

b) On the sample size and the power:

I agree that often for transcriptomics and gene expression a very small number of samples is used. But I guess that is often also because the cost of RNAsequencing is prohibitive.

My point is that you conclude from your experiment “no significant effects between storage methods”. That is true based on your data but it could be due to small sample size and/or low power of the experiment, which would only allow for large effects to be detected.

One option is that you compute the power of the Ftest on your data retrospectively and add this in the discussion. You might have had only sufficient power (80%) to detect differences of the size of 2.5*standard error, based on, for example, TABLE B.12 Table for Determining Sample Size for Analysis of Variance (fixed factor levels model Applied Linear Statistical Models, in https://users.stat.ufl.edu/~winner/sta4211/ALSM_5Ed_Kutner.pdf)

Author response: We thank the reviewer for suggesting we compute the power of the F test retrospectively. Based on a Post-hoc examination of our study findings for the RIN values, using the B12 Table from the Kutner et al, 2005, (Applied Linear Statistical Models Fifth edition) reference provided and assuming a=0.05, b=0.80, r=3 (conditions), Δ/σ= 9.7 (Max value observed in present study) – 7 (minimum reported value from literature) / 0.48 (SD) => Δ/σ= 5.6, the table indicates that our sample size of n=4 is sufficient for adequate power. We have now added to the discussion that we have retrospectively confirmed by using the cited reference table that the sample size for the study was adequate. We have also addedthe Kutner et al reference to the bibliography.

And considering your answer

“Small differences in RIN value or RNA concentrations for example are not meaningful when such high mean values were achieved in the results. The minimum acceptable RIN value for an RNAseq analysis from samples derived from human hair was 7 (Zhang et al., 2017). All but one sample in the current study resulted in RNA with a RIN value less than 9.4 The average total yield of RNA in the current study was 6,321 ng (mean concentration/uL x 15 uL elution volume. To put this in perspective, Kim et al., (2006) in their study evaluating gene expression in human head hair follicles, yielded total RNA of <ng in half of their samples”.

I do agree but why do would you do a statistical analysis (ANOVA) on the data if everything is acceptable?

Author response: Point noted, thank you.

c) Finally, and this is more a conceptual remark, you are trying to prove equivalence of your treatment B and C to the standard method of A. This is different from trying to find a difference.

.....You answer: "We agree, and believe the results do show equivalence of treatments to the standard

method of A."

But you did not test equivalence statistically so you can not really conclude this from the analysis.

Author response: We agree, that was poor wording in our response. Failure to find a difference is not the same as establishing equivalence.

Attachment

Submitted filename: Response to Reviewer 1.docx

pone.0294089.s002.docx (334.1KB, docx)

Decision Letter 2

Abeer El Wakil

19 Apr 2024

PONE-D-23-34914R2Evaluation of short-term hair follicle storage conditions for maintenance of RNA integrity.PLOS ONE

Dear Dr. Murphy,

Thank you for submitting your manuscript to PLOS ONE. After careful consideration, we feel that it has merit but does not fully meet PLOS ONE’s publication criteria as it currently stands. Therefore, we invite you to submit a revised version of the manuscript that addresses the points raised during the review process.

Please submit your revised manuscript by Jun 03 2024 11:59PM. If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at plosone@plos.org. When you're ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file.

Please include the following items when submitting your revised manuscript:

  • A rebuttal letter that responds to each point raised by the academic editor and reviewer(s). You should upload this letter as a separate file labeled 'Response to Reviewers'.

  • A marked-up copy of your manuscript that highlights changes made to the original version. You should upload this as a separate file labeled 'Revised Manuscript with Track Changes'.

  • An unmarked version of your revised paper without tracked changes. You should upload this as a separate file labeled 'Manuscript'.

If you would like to make changes to your financial disclosure, please include your updated statement in your cover letter. Guidelines for resubmitting your figure files are available below the reviewer comments at the end of this letter.

If applicable, we recommend that you deposit your laboratory protocols in protocols.io to enhance the reproducibility of your results. Protocols.io assigns your protocol its own identifier (DOI) so that it can be cited independently in the future. For instructions see: https://journals.plos.org/plosone/s/submission-guidelines#loc-laboratory-protocols. Additionally, PLOS ONE offers an option for publishing peer-reviewed Lab Protocol articles, which describe protocols hosted on protocols.io. Read more information on sharing protocols at https://plos.org/protocols?utm_medium=editorial-email&utm_source=authorletters&utm_campaign=protocols.

We look forward to receiving your revised manuscript.

Kind regards,

Abeer El Wakil, PhD

Academic Editor

PLOS ONE

Journal Requirements:

Please review your reference list to ensure that it is complete and correct. If you have cited papers that have been retracted, please include the rationale for doing so in the manuscript text, or remove these references and replace them with relevant current references. Any changes to the reference list should be mentioned in the rebuttal letter that accompanies your revised manuscript. If you need to cite a retracted article, indicate the article’s retracted status in the References list and also include a citation and full reference for the retraction notice.

[Note: HTML markup is below. Please do not edit.]

Reviewers' comments:

Reviewer's Responses to Questions

Comments to the Author

1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation.

Reviewer #2: (No Response)

**********

2. Is the manuscript technically sound, and do the data support the conclusions?

The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.

Reviewer #2: Yes

**********

3. Has the statistical analysis been performed appropriately and rigorously?

Reviewer #2: Yes

**********

4. Have the authors made all data underlying the findings in their manuscript fully available?

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Reviewer #2: Yes

**********

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Reviewer #2: Yes

**********

6. Review Comments to the Author

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Reviewer #2: Dear authors,

Thank you for the submitted review.

I can agree with your choice to do a repeated, one way ANOVA to test for the effect of storage. By doing so you consider the within-subject correlation in your data. But I believe my suggestion of using a two-factor model would also work.

With respect to the power I do not agree with the computations or the wording on line 330. When you do a post-hoc analysis you need to use the averages of your data. In that case the computation of delta is not appropriate. Delta is the max(mean)-min(mean) in the data. For RIN your means are 9.475, 9.25 and 9.725 so the delta is 0.475 and the RootMSE=0.48 which leads to a ratio of approx..= 1 . The power to detect differences of this size is only 17%.

Δ/σ= 9.7 (Max value observed in present study) – 7 (minimum reported

value from literature) / 0.48 (SD) => Δ/σ= 5.6, the

However if you would argue that you wanted to test if RIN values would be too low for any treatment (e.g. RIN=7) then I could follow your reasoning but that is not a proper post hoc test. So you could rephrase that you wanted to detect very large differences for which n=4 is sufficient.

**********

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Reviewer #2: No

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Attachment

Submitted filename: R2_PONE-23-34914.pdf

pone.0294089.s003.pdf (328.8KB, pdf)
PLoS One. 2024 May 31;19(5):e0294089. doi: 10.1371/journal.pone.0294089.r006

Author response to Decision Letter 2


7 May 2024

Reviewer #2: Dear authors,

Thank you for the submitted review.

I can agree with your choice to do a repeated, one way ANOVA to test for the effect of storage. By doing so you consider the within-subject correlation in your data. But I believe my suggestion of using a two-factor model would also work.

Authors:We are glad that you are in agreement with our choice, thank you.

With respect to the power I do not agree with the computations or the wording on line 330. When you do a post-hoc analysis you need to use the averages of your data. In that case the computation of delta is not appropriate. Delta is the max(mean)-min(mean) in the data. For RIN your means are 9.475, 9.25 and 9.725 so the delta is 0.475 and the RootMSE=0.48 which leads to a ratio of approx..= 1 . The power to detect differences of this size is only 17%.

Δ/σ= 9.7 (Max value observed in present study) – 7 (minimum reported

value from literature) / 0.48 (SD) => Δ/σ= 5.6, the

However if you would argue that you wanted to test if RIN values would be too low for any treatment (e.g. RIN=7) then I could follow your reasoning but that is not a proper post hoc test. So you could rephrase that you wanted to detect very large differences for which n=4 is sufficient.

Authors: Thank you for this clarification. We have expanded this section and rephrased the wording on line 330 to state that we were interested in detecting large differences only, for which n=4 was considered sufficient. We have supported this by highlighting samples sizes used from similar previously published papers and referred to the differences between our results and the minimum accepted RIN value from the literature. We have removed the Kutner reference again.

Attachment

Submitted filename: Rebuttal letter v.3.docx

pone.0294089.s004.docx (15.2KB, docx)

Decision Letter 3

Abeer El Wakil

15 May 2024

Evaluation of short-term hair follicle storage conditions for maintenance of RNA integrity.

PONE-D-23-34914R3

Dear Dr. Murphy,

We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements.

Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication.

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Kind regards,

Abeer El Wakil, PhD

Academic Editor

PLOS ONE

Additional Editor Comments (optional):

Reviewers' comments:

Acceptance letter

Abeer El Wakil

20 May 2024

PONE-D-23-34914R3

PLOS ONE

Dear Dr. Murphy,

I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now being handed over to our production team.

At this stage, our production department will prepare your paper for publication. This includes ensuring the following:

* All references, tables, and figures are properly cited

* All relevant supporting information is included in the manuscript submission,

* There are no issues that prevent the paper from being properly typeset

If revisions are needed, the production department will contact you directly to resolve them. If no revisions are needed, you will receive an email when the publication date has been set. At this time, we do not offer pre-publication proofs to authors during production of the accepted work. Please keep in mind that we are working through a large volume of accepted articles, so please give us a few weeks to review your paper and let you know the next and final steps.

Lastly, if your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org.

If we can help with anything else, please email us at customercare@plos.org.

Thank you for submitting your work to PLOS ONE and supporting open access.

Kind regards,

PLOS ONE Editorial Office Staff

on behalf of

Professor Abeer El Wakil

Academic Editor

PLOS ONE

Associated Data

    This section collects any data citations, data availability statements, or supplementary materials included in this article.

    Supplementary Materials

    Attachment

    Submitted filename: Rebuttal letter.docx

    pone.0294089.s001.docx (31.8KB, docx)
    Attachment

    Submitted filename: Response to Reviewer 1.docx

    pone.0294089.s002.docx (334.1KB, docx)
    Attachment

    Submitted filename: R2_PONE-23-34914.pdf

    pone.0294089.s003.pdf (328.8KB, pdf)
    Attachment

    Submitted filename: Rebuttal letter v.3.docx

    pone.0294089.s004.docx (15.2KB, docx)

    Data Availability Statement

    All the data relevant to the experiments described in this manuscript are provided within the manuscript as Tables.


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