Skip to main content
F1000Research logoLink to F1000Research
. 2025 Jun 13;14:10. Originally published 2025 Jan 2. [Version 2] doi: 10.12688/f1000research.160217.2

A guide to selecting high-performing antibodies for Stearoyl-CoA desaturase (SCD1) (UniProt ID: O00767) for use in western blot, immunoprecipitation, and immunofluorescence

Vera Ruíz Moleón 1, Charles Alende 1, Maryam Fotouhi 1, Sara González Bolívar 1, Riham Ayoubi 1, Carl Laflamme 1,a; NeuroSGC/YCharOS/EDDU collaborative group; ABIF consortium
PMCID: PMC12246776  PMID: 40657179

Version Changes

Revised. Amendments from Version 1

This revised version incorporates edits made in response to reviewer comments, which have improved the clarity of the manuscript. A new Table 3 has been added to assist antibody users in interpreting the data presented. Additionally, a limitations section has been included to acknowledge the constraints inherent to this antibody guide.

Abstract

The enzyme stearoyl-CoA desaturase (SCD1) is a modulator of lipid metabolism by catalyzing the biosynthesis of mono-unsaturated fatty acids from saturated fatty acids. Understanding the specific mechanisms by which SCD1 plays in health and disease can provide novel insides in therapeutic targets, a process that would be facilitated by the availability of high-quality antibodies. Here we have characterized nine SCD1 commercial antibodies for western blot, immunoprecipitation, and immunofluorescence using a standardized experimental protocol based on comparing read-outs in knockout cell lines and isogenic parental controls. These studies are part of a larger, collaborative initiative seeking to address antibody reproducibility issues by characterizing commercially available antibodies for human proteins and publishing the results openly as a resource for the scientific community. While use of antibodies and protocols vary between laboratories, we encourage readers to use this report as a guide to select the most appropriate antibodies for their specific needs.

Keywords: O00767, SCD, SCD1, Steroyl-CoA desaturase, antibody characterization, antibody validation, western blot, immunoprecipitation, immunofluorescence

Introduction

Stearoyl-CoA desaturase (SCD1) is a membrane-bound enzyme which catalyzes the rate-limiting step in the conversion of saturated fatty acids into mono-unsaturated fatty acids. 1, 2 The regulation of SCD1 is physiologically important as maintaining a proper ratio of saturated to monounsaturated fatty acids is essential for membrane fluidity. Disruption to this ratio can lead to pathological conditions, including cardiovascular disease, obesity, non-insulin dependent diabetes mellitus, hypertension, neurological diseases, immune disorders and cancer. 27

SCD1 is of particular importance in Parkinson’s disease (PD) research as its inhibition has been found to rescue α-Synuclein cytotoxicity and inclusion formation, both hallmarks of PD progression. The neurotoxic mechanisms underlying PD progression are not yet clearly defined. 810 Mechanistic studies would be facilitated with the availability of high-quality SCD1 antibodies.

This research is part of a broader collaborative initiative in which academics, funders and commercial antibody manufacturers are working together to address antibody reproducibility issues by characterizing commercial antibodies for human proteins using standardized protocols, 11 and openly sharing the data. 1214 Here we evaluated the performance of nine commercial antibodies for SCD1 for use in western blot, immunoprecipitation, and immunofluorescence (also referred to as immunocytochemistry), enabling biochemical and cellular assessment of SCD1 properties and function. The platform for antibody characterization used to carry out this study was endorsed by a committee of industry academic representatives. It consists of identifying human cell lines with adequate target protein expression and the development/contribution of equivalent knockout (KO) cell lines, followed by antibody characterization procedures using most commercially available renewable antibodies against the corresponding protein. The standardized consensus antibody characterization protocols are openly available on Protocol Exchange (DOI: 10.21203/rs.3.pex-2607/v1). 15

The authors do not engage in result analysis or offer explicit antibody recommendations. A limitation of this study is the use of universal protocols – any conclusions remain relevant within the confines of the experimental setup and cell line used in this study. Our primary aim is to deliver top-tier data to the scientific community, grounded in Open Science principles. This empowers experts to interpret the characterization data independently, enabling them to make informed choices regarding the most suitable antibodies for their specific experimental needs Guidelines on how to interpret antibody characterization data found in this study are featured on the YCharOS gateway 16 and in Table 3 of this data note.

Table 3. Illustrations to assess antibody performance in all western blot, immunoprecipitation and immunofluorescence.

Western blot Immunoprecipitation Immunofluorescence
graphic file with name f1000research-14-183557-g0003.jpg graphic file with name f1000research-14-183557-g0004.jpg graphic file with name f1000research-14-183557-g0005.jpg

This table has been reproduced with permission from Ayoubi et al., Elife, 2023. 12

Results and discussion

Our standard protocol involves comparing readouts from WT (wild type) and KO cells. 17, 18 The first step was to identify a cell line(s) that expresses sufficient levels of a given protein to generate a measurable signal using antibodies. To this end, we examined the DepMap transcriptomics database to identify all cell lines that express the target at levels greater than 2.5 log 2 (transcripts per million “TPM” + 1), which we have found to be a suitable cut-off (Cancer Dependency Map Portal, RRID:SCR_017655). The HeLa cell line expresses the SCD1 transcript at 6.7 log 2 (TPM+1) RNA levels, which is above the average range of cancer cells analyzed, and does not carry mutations in the SCD gene that could affect antibody–epitope binding, as seen on DepMap. A SCD KO HeLa cells were obtained from Abcam ( Table 1).

Table 1. Summary of the cell lines used.

Institution Catalog number RRID (Cellosaurus) Cell line Genotype
Abcam ab255448 CVCL_0030 HeLa WT
Abcam ab265220 CVCL_B2EP HeLa SCD KO

Limitations

Inherent limitations are associated with the antibody characterization platform used in this study. Firstly, the YCharOS project focuses on renewable (recombinant and monoclonal) antibodies and does not test all commercially available SCD1 antibodies. YCharOS partners provide approximately 80% of all renewable antibodies, but some top-cited polyclonal antibodies may not be available through these partners.

Secondly, the YCharOS effort employs a non-biased approach that is agnostic to the protein for which antibodies have been characterized. The aim is to provide objective data on antibody performance without preconceived notions about how antibodies should perform or the molecular weight that should be observed in western blot. As the authors are not experts in SCD1, only a brief overview of the protein’s function and its relevance in disease is provided. SCD1 experts are invited to analyze and interpret observed banding patterns in western blots and subcellular localization in immunofluorescence.

Thirdly, YCharOS experiments are not performed in replicates primarily due to the use of multiple antibodies targeting various epitopes. Once a specific antibody is identified, it validates the protein expression of the intended target in the selected cell line, confirms the lack of protein expression in the KO cell line and supports conclusions regarding the specificity of the other antibodies. Moreover, the same antibody clones are often donated by 2–3 manufacturers—such as the SCD1 antibodies ab19862 and MA5-27542 (clone CD.E10, cross-licensed between Abcam and Thermo Fisher)—effectively serving as replicates and enabling validation of test reproducibility. All experiments are performed using master mixes, and meticulous attention is paid to sample preparation and experimental execution. In IF, the use of two different concentrations serves to evaluate antibody specificity and can aid in assessing assay reliability. In instances where antibodies yield no signal, a repeat experiment is conducted following titration. Additionally, our independent data is performed subsequently to the antibody manufacturers internal validation process, therefore making our characterization process a repeat.

Lastly, as comprehensive and standardized procedures are respected, any conclusions remain confined to the experimental conditions and cell line used for this study. The use of a single cell type for evaluating antibody performance poses as a limitation, as factors such as target protein abundance significantly impact results. Additionally, the use of cancer cell lines containing gene mutations poses a potential challenge, as these mutations may be within the epitope coding sequence or other regions of the gene responsible for the intended target. Such alterations can impact the binding affinity of antibodies. This represents an inherent limitation of any approach that employs cancer cell lines.

For western blot experiments, WT and SCD KO protein lysates were ran on SDS-PAGE, transferred onto nitrocellulose membranes, and then probed with nine antibodies in parallel ( Table 2, Figure 1).

Table 2. Summary of the SCD1 antibodies tested.

Company Catalog number Lot number RRID (Antibody Registry) Clonality Clone ID Host Concentration (μg/μl) Vendors recommended applications
Abcam ab19862 * 1057200-1 AB_445179 monoclonal CD.E10 mouse 1.00 Wb, IP, IF
Abcam ab236868 ** 1007366-14 AB_2928123 recombinant mono EPR21963 rabbit 0.61 Wb, IP, IF
Abcam ab39969 1036585-6 AB_945374 polyclonal rabbit 0.90 Wb
Aviva Systems Biology ARP32797_T100 QC2226-43641 AB_841676 polyclonal rabbit 1.00 Wb
Bio-Techne AF7550 CGOP0121061 AB_3107036 polyclonal sheep 0.20 Wb
Proteintech 28678-1-AP 00103543 AB_2923581 polyclonal rabbit 0.40 Wb, IF
Thermo Fisher Scientific MA5-27542 * YH4004441A AB_2723611 monoclonal CD.E10 mouse 1.00 Wb, IP, IF
Thermo Fisher Scientific PA5-75757 YJ4089139 AB_2719485 polyclonal rabbit 1.00 Wb, IF
Thermo Fisher Scientific PA5-95762 YJ4090059A AB_2807564 polyclonal rabbit 1.35 Wb, IF

Wb = western blot, IP = immunoprecipitation, IF = immunofluorescence.

*

Monoclonal antibody.

**

Recombinant antibody.

Figure 1. SCD1 antibody screening by western blot.


Figure 1.

Lysates of HeLa WT and SCD KO were prepared, and 35 μg of protein were processed for western blot with the indicated SCD1 antibodies. The Ponceau stained transfers of each blot are presented to show equal loading of WT and KO lysates and protein transfer efficiency from the acrylamide gels to the nitrocellulose membrane. Tris-Glycine 4-20% gels were used. Antibody dilutions were chosen according to the recommendations of the antibody supplier. An exception was given for antibody AF7550 which was titrated because the signal was too weak when following the supplier’s recommendations. Antibody dilution used: ab19862* at 1/1000, ab236868** at 1/1000, ab39969 at 1/1000, ARP32797_T100 at 1/1000, AF7550 at 1/200, 28678-1-AP at 1/1000, MA5-27542* at 1/1000, PA5-75757 at 1/200 and PA5-95762 at 1/1000. Predicted band size: 41.5 kDa *Monoclonal antibody, **Recombinant antibody.

We then assessed the capability of all nine antibodies to capture SCD1 from HeLa protein extracts using immunoprecipitation techniques, followed by western blot analysis. For the immunoblot step, a specific SCD1 antibody identified previously (refer to Figure 1) was selected. Equal amounts of the starting material (SM), the unbound fraction (UB), as well as the whole immunoprecipitate (IP) eluates were separated by SDS-PAGE ( Figure 2).

Figure 2. SCD1 antibody screening by immunoprecipitation.


Figure 2.

HeLa lysates were prepared, and immunoprecipitation was performed using 1 mg of lysate and 2.0 μg of the indicated SCD1 antibodies pre-coupled to Dynabeads protein A or protein G. Samples were washed and processed for western blot with the indicated SCD1 antibody. For western blot, MA5-27542* was used at 1/1000. Tris-Glycine 4-20% gels were used. The Ponceau stained transfers of each blot are shown. Predicted band size: 41.5 kDa. SM=4% starting material; UB=4% unbound fraction; IP=immunoprecipitate, HC= antibody heavy chain, LC= antibody light chain. *Monoclonal antibody, **Recombinant antibody.

For immunofluorescence, nine antibodies were screened using a mosaic strategy. First, HeLa WT and SCD KO cells were labelled with different fluorescent dyes in order to distinguish the two cell lines, and the SCD1 antibodies were evaluated. Both WT and KO lines imaged in the same field of view to reduce staining, imaging and image analysis bias ( Figure 3). Quantification of immunofluorescence intensity in hundreds of WT and KO cells was performed for each antibody tested, and the images presented in Figure 3 are representative of this analysis. 15

Figure 3. SCD1 antibody screening by immunofluorescence.


Figure 3.

HeLa WT and SCD KO cells were labelled with a green or a far-red fluorescent dye, respectively. WT and KO cells were mixed and plated to a 1:1 ratio on coverslips. Cells were stained with the indicated SCD1 antibodies and with the corresponding Alexa-fluor 555 coupled secondary antibody including DAPI. Acquisition of the blue (nucleus-DAPI), green (WT), red (antibody staining) and far-red (KO) channels was performed. Representative images of the blue and red (grayscale) channels are shown. WT and KO cells are outlined with green and magenta dashed line, respectively. When an antibody was recommended for immunofluorescence by the supplier, we tested it at the recommended dilution. The rest of the antibodies were tested at 1 and 2 μg/mL and the final concentration was selected based on the detection range of the microscope used and a quantitative analysis not shown here. Antibody dilution used: ab19862* at 1/1000, ab236868** at 1/600, ab39969 at 1/150, ARP32797_T100 at 1/500, AF7550 at 1/200, 28678-1-AP at 1/400, MA5-27542* at 1/1000, PA5-75757 at 1/1000 and PA5-95762 at 1/1300. Bars = 10 μm. *Monoclonal antibody, **Recombinant antibody.

In conclusion, we have screened nine SCD1 commercial antibodies by western blot, immunoprecipitation, and immunofluorescence by comparing the signal produced by the antibodies in human HeLa WT and SCD KO cells. High-quality and renewable antibodies that successfully detect SCD1 were identified in all applications. Researchers who wish to study SCD1 in a different species are encouraged to select high-quality antibodies based on the results presented and investigate the predicted species reactivity of the manufacturer before extending their research.

Method

The standardized protocols used to carry out this KO cell line-based antibody characterization platform was established and approved by a collaborative group of academics, industry researchers and antibody manufacturers. The detailed materials and step-by-step protocols used to characterize antibodies in western blot, immunoprecipitation and immunofluorescence are openly available on Protocol Exchange (DOI: 10.21203/rs.3.pex-2607/v1). 15

Antibodies and cell line used

Cell lines used and primary antibodies tested in this study are listed in Tables 1 and 2, respectively. To ensure that the cell lines and antibodies are cited properly and can be easily identified, we have included their corresponding Research Resource Identifiers, or RRID. 19, 20 All cell lines used in this study were regularly tested for mycoplasma contamination and were confirmed to be mycoplasma-free.

Acknowledgment

We would like to thank the NeuroSGC/YCharOS/EDDU collaborative group for their important contribution to the creation of an open scientific ecosystem of antibody manufacturers and KO cell line suppliers, for the development of community-agreed protocols, and for their shared ideas, resources, and collaboration. Members of the group can be found below. We would also like to thank the Advanced BioImaging Facility (ABIF) consortium for their image analysis pipeline development and conduction (RRID:SCR_017697). Members of each group can be found below.

NeuroSGC/YCharOS/EDDU collaborative group: Thomas M. Durcan, Aled M. Edwards, Peter S. McPherson, Chetan Raina and Wolfgang Reintsch.

ABIF consortium: Claire M. Brown and Joel Ryan.

Thank you to the Structural Genomics Consortium, a registered charity (no. 1097737), for your support on this project. The Structural Genomics Consortium receives funding from Bayer AG, Boehringer Ingelheim, Bristol-Myers Squibb, Genentech, Genome Canada through Ontario Genomics Institute (grant no. OGI-196), the EU and EFPIA through the Innovative Medicines Initiative 2 Joint Undertaking (EUbOPEN grant no. 875510), Janssen, Merck KGaA (also known as EMD in Canada and the United States), Pfizer and Takeda.

Funding Statement

This work was supported by a grant from the Michael J. Fox Parkinson’s Disease Research. It was also supported by the Government of Canada through Genome Canada, Genome Quebec, and Ontario Genomics (grant no. OGI-210). RA is supported by a Mitacs fellowship.

The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

[version 2; peer review: 1 approved

Data availability

Underlying data

Zenodo: Antibody Characterization Report for SCD1, https://doi.org/10.5281/zenodo.13891494. 21

Zenodo: Dataset for the SCD1 antibody screening study, https://doi.org/10.5281/zenodo.14502183. 22

Data are available under the terms of the Creative Commons Attribution 4.0 International license (CC-BY 4.0).

References

  • 1. Enoch HG, Catalá A, Strittmatter P: Mechanism of rat liver microsomal stearyl-CoA desaturase. Studies of the substrate specificity, enzyme-substrate interactions, and the function of lipid. J. Biol. Chem. 1976;251(16):5095–5103. 10.1016/S0021-9258(17)33223-4 [DOI] [PubMed] [Google Scholar]
  • 2. Ntambi JM: Regulation of stearoyl-CoA desaturase by polyunsaturated fatty acids and cholesterol. J. Lipid Res. 1999;40(9):1549–1558. 10.1016/S0022-2275(20)33401-5 [DOI] [PubMed] [Google Scholar]
  • 3. Kinsella JE, Lokesh B, Stone RA: Dietary n-3 polyunsaturated fatty acids and amelioration of cardiovascular disease: possible mechanisms. Am. J. Clin. Nutr. 1990;52(1):1–28. 10.1093/ajcn/52.1.1 [DOI] [PubMed] [Google Scholar]
  • 4. Jones BH, Maher MA, Banz WJ, et al. : Adipose tissue stearoyl-CoA desaturase mRNA is increased by obesity and decreased by polyunsaturated fatty acids. Am. J. Phys. 1996;271(1 Pt 1):E44–E49. 10.1152/ajpendo.1996.271.1.E44 [DOI] [PubMed] [Google Scholar]
  • 5. Li J, Ding SF, Habib NA, et al. : Partial characterization of a cDNA for human stearoyl-CoA desaturase and changes in its mRNA expression in some normal and malignant tissues. Int. J. Cancer. 1994;57(3):348–352. 10.1002/ijc.2910570310 [DOI] [PubMed] [Google Scholar]
  • 6. Habib NA, Wood CB, Apostolov K, et al. : Stearic acid and carcinogenesis. Br. J. Cancer. 1987;56(4):455–458. 10.1038/bjc.1987.223 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7. Khoo DE, Fermor B, Miller J, et al. : Manipulation of body fat composition with sterculic acid can inhibit mammary carcinomas in vivo. Br. J. Cancer. 1991;63(1):97–101. 10.1038/bjc.1991.20 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8. Fanning S, Haque A, Imberdis T, et al. : Lipidomic Analysis of α-Synuclein Neurotoxicity Identifies Stearoyl CoA Desaturase as a Target for Parkinson Treatment. Mol. Cell. 2019;73(5):1001–1014.e8. 10.1016/j.molcel.2018.11.028 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9. Bartels T, Choi JG, Selkoe DJ: α-Synuclein occurs physiologically as a helically folded tetramer that resists aggregation. Nature. 2011;477(7362):107–110. 10.1038/nature10324 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10. Nicholatos JW, Groot J, Dhokai S, et al. : SCD Inhibition Protects from α-Synuclein-Induced Neurotoxicity But Is Toxic to Early Neuron Cultures. eNeuro. 2021;8(4):ENEURO.0166–ENEU21.2021. 10.1523/ENEURO.0166-21.2021 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11. Ayoubi R, Ryan J, Gonzalez Bolivar S, et al. : A consensus platform for antibody characterization. Nat. Protoc. 2025 Jun;20(6):1509–1545. 10.1038/s41596-024-01095-8 [DOI] [PubMed] [Google Scholar]
  • 12. Ayoubi R, Ryan J, Biddle MS, et al. : Scaling of an antibody validation procedure enables quantification of antibody performance in major research applications. elife. 2023;12:12. 10.7554/eLife.91645 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13. Carter AJ, Kraemer O, Zwick M, et al. : Target 2035: probing the human proteome. Drug Discov. Today. 2019;24(11):2111–2115. 10.1016/j.drudis.2019.06.020 [DOI] [PubMed] [Google Scholar]
  • 14. Licciardello MP, Workman P: The era of high-quality chemical probes. RSC Med. Chem. 2022;13(12):1446–1459. 10.1039/D2MD00291D [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15. Ayoubi R, Ryan J, Bolivar SG, et al. : A consensus platform for antibody characterization (Version 1). Protocol Exchange. 2024. [Google Scholar]
  • 16. Biddle MS, Virk HS: YCharOS open antibody characterisation data: Lessons learned and progress made. F1000Res. 2023;12:1344. 10.12688/f1000research.141719.1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17. Laflamme C, McKeever PM, Kumar R, et al. : Implementation of an antibody characterization procedure and application to the major ALS/FTD disease gene C9ORF72. elife. 2019;8:8. 10.7554/eLife.48363 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18. Alshafie W, Fotouhi M, Shlaifer I, et al. : Identification of highly specific antibodies for Serine/threonine-protein kinase TBK1 for use in immunoblot, immunoprecipitation and immunofluorescence. F1000Res. 2022;11:977. 10.12688/f1000research.124632.1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19. Bandrowski A, Pairish M, Eckmann P, et al. : The Antibody Registry: ten years of registering antibodies. Nucleic Acids Res. 2023;51(D1):D358–D367. 10.1093/nar/gkac927 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20. Bairoch A: The Cellosaurus, a Cell-Line Knowledge Resource. J. Biomol. Tech. 2018;29(2):25–38. 10.7171/jbt.18-2902-002 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21. Ruiz Moleon V, Alende C, Fotouhi M, et al. : A guide to selecting high-performing antibodies for Stearoyl-CoA desaturase (SCD1) (UniProt ID: O00767). Zenodo. 2024. 10.5281/zenodo.13891494 [DOI]
  • 22. Laflamme C: Dataset for the SCD1 antibody screening study.[Dataset]. Zenodo. 2024. 10.5281/zenodo.14502183 [DOI]
F1000Res. 2025 Jul 10. doi: 10.5256/f1000research.183557.r392564

Reviewer response for version 2

Deborah Moshinsky 1

The authors tested 9 commercially available antibodies to SCD1 (stearoyl-CoA desaturase) for activity in Western Blot, Immunoprecipitation (IP) and immunofluorescence (IF).  They first found a cell line expressing the protein and generated a knockout version.  Then they utilized standardized, openly available protocols for Western, IP and IF.  The results were clear and the methodology easy to follow.  Table 3 is useful to assist in the interpretation of the data.  However, for the Western Blot examples in Table 3, the situation where multiple bands including the target are present in the WT and multiple bands but lacking the target is present in the KO is labeled as a 'successful antibody.'  I recommend that this be clarified, as one could argue that an antibody that detects it's target along with other proteins is non-specific and therefore not a 'successful' antibody.  Perhaps successful but non-selective or another qualifying term would be more suitable.

Are sufficient details of methods and materials provided to allow replication by others?

Yes

Is the rationale for creating the dataset(s) clearly described?

Yes

Are the datasets clearly presented in a useable and accessible format?

Yes

Are the protocols appropriate and is the work technically sound?

Yes

Reviewer Expertise:

Antibody characterization and validation

I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard.

F1000Res. 2025 Feb 5. doi: 10.5256/f1000research.176074.r358436

Reviewer response for version 1

Michael L Garelja 1

This manuscript, aiming to investigate the utility of a range of SCD1 antibodies is extremely important, and I applaud the initiative. Identification of antibodies that can correctly detect their target is of incredible importance to the entire field and highlighting that not all antibodies work as advertised is critical to ensuring that researchers can perform robust science.

Points that need be addressed for this work to be indexed.

  • Are there RRID’s associated with these antibodies? This applies for both the primary antibodies, and the secondary antibodies. Secondary antibodies also require lot numbers.

  • As antibody concentrations can change between batches, it would be more informative to list the concentrations used in the experiments rather than the dilutions.

  • A summary table to show how the different antibodies work under different experimental techniques would be extremely useful. I understand that the resource cannot make recommendations, but having a summary of how each antibody would help others interpret results.

  • Are there any known splice variants of this target? There is a consistent band of approximately 25 kDa, that also seems to be lower when knocked out. Any insight as to why the detected band differed from the estimated molecular weight would also be useful. Has this particular ladder been compared to other ladders to ensure that it runs as expected under these experimental conditions?

Further information for discussion.

  • The researchers have used a cell-line which highly expresses the target. Is it possible to work with cells that have lower expression levels? If not, these needs to be addressed as a limitation. Testing the panel of “useful” antibodies against more cell lines with variable SCD1 expression to show a limit of detection would be of high utility.

  • Listing the epitopes that the antibodies were raised against would be of high value. One of the pillars of antibody validation is to use two antibodies that have been raised against different epitopes, so having that information readily available would help researchers in their mission to perform good science.

  • The paper should acknowledge that there may be methodological optimizations that could improve antibody function.

  • Figure 3 – is it possible to show to green and red stained cells in a separate panel? The outlines are useful, but showing that the cells have similar morphologies (or not!) would be interesting in the context of SCD1 biology.

  • Why were these antibodies chosen, as opposed to the wider range of antibodies available? This is not a criticism, as the work is valuable regardless, but some information as to how these antibodies were selected would be interesting.

Are sufficient details of methods and materials provided to allow replication by others?

Partly

Is the rationale for creating the dataset(s) clearly described?

Yes

Are the datasets clearly presented in a useable and accessible format?

Yes

Are the protocols appropriate and is the work technically sound?

Yes

Reviewer Expertise:

CGRP, migraine, pharmacology

I confirm that I have read this submission and believe that I have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however I have significant reservations, as outlined above.

F1000Res. 2025 Jan 17. doi: 10.5256/f1000research.176074.r355980

Reviewer response for version 1

Cecilia Williams 1, Matilda Holm 2

The data note by Ruiz Moleon et al. provides a high-quality antibody validation guide for the protein SCD1. The guide is part of the YCharOS initiative that uses isogenic knockout cell lines and multiple antibody-dependent assays to investigate antibody specificity and selectivity in a structured manner. It is an important effort that can improve the reproducibility of biomedical research, and this guide is highly useful for researchers focusing on SCD1. The authors show that 3-4 out of 9 antibodies do not work in most or any of the assays, whereas the rest are more or less well-performing, using the cells and conditions applied in the protocol. This is critical information that will be of high value to the research community. For enhanced usability, clarification, and stringency of the guide and to facilitate the interpretation and reproducibility, I have the below recommendations.

Major comments

  • The introduction would benefit from including basic information regarding the protein, as this would facilitate the interpretation of the data. Such as the known or predicted subcellular localization of SCD1, its calculated molecular weight, and if any splice variants are known.

  • The rationale, as stated (p.3, 2 nd paragraph: “ Mechanistic studies would be facilitated with the availability of high-quality SCD1 antibodies”) should be better supported. Is there a documented lack of high-quality SCD1 antibodies? Or, is this an assumption based on the general problem with the reproducibility of antibody-based research?

  • The sentence “ using most commercially available antibodies against the corresponding protein” (p. 3, 3 rdparagraph) is likely not correct. Perhaps the authors intended to state “ renewable antibodies” as the initiative states in other publications. In this guide, specifically, the authors include 9 commercial (renewable and non-renewable) SCD1 antibodies, but there are as many as 274 antibodies from 32 providers directed towards human SCD1 listed in Antibodypedia.

  • A statement of whether the SCD1 gene in the cells (HeLa WT) has indeed been confirmed to be wild type (i.e., not mutated) should be added. It would also be useful to include which (if any) splice variant transcripts are expressed in these cells.

  • Table 1: The lot (or batch) numbers for the antibodies must be listed. This is essential information and is especially important in an antibody validation guide.

  • It should be stated whether replicate experiments were performed.

  • It is unclear how the antibody used for the western blot of the IPs was chosen (p. 3, 2 nd last paragraph: “ a specific antibody was chosen”). Were both specificity and selectivity considered? Were the species the antibodies were generated in used as criteria (to avoid detection of heavy and light chains in the next step)? Or was the selection random out of the sufficiently specific antibodies? If so, how many and which antibodies were deemed to be sufficiently specific?

  • Fig 2: Considering that antibodies from different species appear specific in WB, it seems like a missed opportunity to not take species into account to generate clearer western blot data of the IPs (i.e., avoiding additional bands of heavy and light antibody chains, such as when using mouse-generated antibodies in both IP and WB and detecting them with an anti-mouse secondary antibody).

  • Fig. 1 and 2: It should be specified which secondary antibody was used in the western blots.

  • Fig. 3: The legend statement that “ Representative images of the merged blue and red (grayscale) channels are shown.” appears incorrect. The blue (DAPI) is shown separately from the red (antibody staining); they are not merged in the figure. It would also be clearer if the images showed the actual colors (blue for DAPI and red for SCD1 antibody) instead of grey for both.

  • Only one cell line is used, which is a limitation of the initiative. Considering that HeLa cells express unusually high SCD1 levels (as stated in the text), the antibodies may work less well at lower SCD1 levels. They could also bind to other proteins expressed in other cells but not HeLa. It would be useful if the antibodies (the ones deemed to be of high quality) were additionally analyzed by western blot on a panel of cell lines with varying mRNA expression of SCD1. This would indicate their performance at different levels of the target protein and in more than one cell line.

  • Although the authors state that they do not engage in result analysis, they do (to select a specific antibody for WB of the IP, and they conclude that several antibodies successfully detect SCD1), but they refrain from clearly stating which these antibodies are. A table, or a statement, summarizing which antibodies bind intended and unintended targets in the different assays (under the specific conditions used) would allow greater usability, including for researchers starting their work (such as postdocs and PhD students). This would also facilitate an overview of the application-dependent performance (again, under the specific conditions used).

Minor comments:

  • The assay immunofluorescence (IF) is typically used for tissue analysis. For analysis of cells and cell lines, as is the case here, the term immunocytochemistry is better suited.

  • UniProt ID may not need to be stated in the title (could be moved to abstract or introduction)

  • p.3, 3 rd paragraph: It should be clarified if the target protein expression relates specifically to endogenous expression or whether cell lines with recombinant expression were included.

  • A statement about mycoplasma testing and cell line authentication should be included.

  • It would be beneficial to include which epitope each antibody is directed toward (or raised against).

  • Fig. 1 and 2: The exposure time(s) applied for the western blots could be included.

  • Fig 2: Although the figure legend clearly states which antibody was used for WB of all IPs, the figure itself gives the impression that it may have been used only for the two indicated IPs. It might be better to remove this from the image or place it differently.

  • p. 5, first paragraph: “ Quantification of ... in hundreds of WT and KO cells” is vague. The number (or range) of actually quantified cells should be stated.

  • Fig. 3: The figure legend should specify which magnification was used for the IF images.

  • It would be beneficial to highlight that the antibodies ab19862 and MA-27542 are from the same clone and should be the same. It would be pedagogical to place them side by side.

  • Page 5, final paragraph: “ Several high-quality and renewable antibodies that successfully detect SCD1 were identified in all applications”. As only 3 of the tested antibodies were renewable (monoclonal or recombinant), and two of them were from the same clone (= same antibody), the word “several” seems a stretch. The word “renewable” should probably be removed.

  • Several spelling/grammar errors (p.3 a “to” too much p.3, p. 3 “were run “ instead of “were ran”, wrongly placed commas, etc.)

  • The published method protocol Ayoubi et al., Nature Protocol (2024) should likely be referenced.

  • Author roles: It is not stated who drafted the manuscript, nor if all authors commented on it.

Are sufficient details of methods and materials provided to allow replication by others?

Partly

Is the rationale for creating the dataset(s) clearly described?

Yes

Are the datasets clearly presented in a useable and accessible format?

Partly

Are the protocols appropriate and is the work technically sound?

Yes

Reviewer Expertise:

nuclear receptors, transcriptomes, antibody validation, cancer

We confirm that we have read this submission and believe that we have an appropriate level of expertise to confirm that it is of an acceptable scientific standard, however we have significant reservations, as outlined above.

Associated Data

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

    Data Citations

    1. Laflamme C: Dataset for the SCD1 antibody screening study.[Dataset]. Zenodo. 2024. 10.5281/zenodo.14502183 [DOI]

    Data Availability Statement

    Underlying data

    Zenodo: Antibody Characterization Report for SCD1, https://doi.org/10.5281/zenodo.13891494. 21

    Zenodo: Dataset for the SCD1 antibody screening study, https://doi.org/10.5281/zenodo.14502183. 22

    Data are available under the terms of the Creative Commons Attribution 4.0 International license (CC-BY 4.0).


    Articles from F1000Research are provided here courtesy of F1000 Research Ltd

    RESOURCES