Proteomics Resource Facility
Wide-ranging proteomic services using the latest mass spectrometry technology.
About Us
Using state-of-the-art instrumentation, the BRCF Proteomics Resource Facility team assists researchers in designing proteomic experiments. We provide technical expertise and bioinformatic support during both discovery and validation phases of proteomic experiments in a cost-effective and timely manner.
We have contributed to over 230 publications, supported numerous successful grant applications, and we are a designated shared resource for the U-M Center for Gastrointestinal Research and the Rogel Cancer Center.
Using a Microfluidic Device to Monitor Glioblastoma Treatment Outcomes
Researchers used a microfluidic device to capture biomarkers that are released by tumor cells to predict patient responses to chemotherapy drugs.
Our Process
How we Serve Your Research Needs
Services
Expert identification, analysis, and quantitation of proteins.
Instrumentation
State-of-the-art technology.
Bioinformatics
Advanced informatics support.
Our Rates
Please visit iLABs for the most up-to-date services offered and cost information. These rates are reviewed by and approved by the U-M Office of Financial Analysis and are subject to change.
The rates listed are for internal users. For external rates, please contact us at [email protected] for a discussion of your project plan and an estimate.
Submission Guidelines
The Proteomics Resource Facility (PRF) uses state-of-the-art, highly sensitive mass spectrometers to fulfill its mission. It is worthwhile to note that while the PRF strives hard to obtain the best results possible, the quality of the data generated by the mass spectrometer is only as good as the quality of the samples introduced into them. Hence it is imperative that the samples intended for MS analysis be prepared by taking extreme care to avoid some of the common contaminants which can impair an otherwise well planned and executed experiment. These contaminants are either “chemical contaminants” or “exogenously introduced protein” contaminants.
Polymers (from plasticware), buffer components (i.e. inorganic salts, detergents), protein stabilizing agents (i.e. glycerol, PEG). While inorganic salts are easily removed by reverse phase-based sample clean-up steps, other contaminants persist even after.
- To minimize polymer contamination, please rinse plastic ware with HPLC grade organic solvent (Methanol or Acetonitrile), if available.
- For biochemical techniques (cell/tissue lysis, IP, affinity purification, etc.) use the least complex buffer required. Some of the commonly used buffers such as RIPA containing small amounts of detergents (ex. 0.1% triton, 0.1% SDS etc) are OK.
- Use the highest quality chemicals/reagents available.
- Please consult with the Laboratory Manager before you begin the experiment to verify the MS compatibility of your buffers components.
Mass spectrometers, under normal operational conditions, are not quantitative (Signal intensity depends on various properties of the peptide/protein including the ionization efficiency). Hence contaminating proteins which may ionize more efficiently and/or co-elute with the peptide of interest can drastically affect the out come of an experiment. Most common contaminants observed are cytokeratin (coming from skin and hair follicles) and serum proteins (i.e. albumin).
- Wear gloves all the time and change them often.
- If possible, keep a small area just for MS sample processing. Wipe the area clean with methanol or ethanol.
- Keep apparatus (staining trays, electrophoresis unit, pipettes, etc.) exclusively for MS sample preparation whenever possible.
- Wash the cells/tissues extensively with isotonic buffer BEFORE lysis (to remove any serum proteins coming from tissue culture medium or blood)
- Use pre-cast gels.
- Handle the gel as little as possible and keep it covered at all times. Consider using StainEase staining trays or equivalent.
- Run a parallel sample for documentation purposes, if possible.
We have experienced satisfactory results with the following protein stains:
- Coomassie stain: Any single-step Coomassie stain that doesn’t require extensive and multiple changes of destaining solution works well. We recommend Colloidal Blue or SimplyBlue stains.
- Silver stain: Classical silver stain techniques that utilize glutaraldehyde and/or formaldehyde are not suitable as they modify amino acid side chains and interfere with digestion with protease. Several MS compatible silver stains are commercially available. We recommend ProteoSilver or SilverQuest kits. Please remember to bring the appropriate destaining solutions when submitting samples.
If you are located on or near the Ann Arbor campus, you can bring the whole gel to our laboratory and we will cut the gel slices for you.
- Please use 1 mm thick gels whenever possible.
- Follow either Coomassie or MS-compatible silver staining protocols.
- Once the band/spot of interest has been located, using a clean scalpel blade, cut the gel as close to the stain as possible.
- If you are planning to process the whole lane, transfer the gel onto a clean glass plate and cut the lane into 12-16 equal sized slices (~0.5 cm each)
- Using a clean pair of forceps, transfer the gel slice(s) into a 1.5 ml eppendorf tube. There is no need to include any buffer/water in the tube.
- This can be kept at -20°C until submission for analysis. If shipping from outside, ship it overnight on dry ice.
- Please ensure that properly filled sample submission forms accompany every sample.
As a general rule, it is safe to assume that many of the commonly used biochemical reagents, especially detergents, may interfere with MS analysis. Please discuss with the Laboratory Director and Manager before preparing the samples.
Please discuss with the Laboratory Director and Manager before preparing the samples.
In most cases, Investigator can follow their optimized protocol for sample preparation. However, after the final wash, we request you to perform 1-2 brief rinses with a simple buffer (ex. PBS or TBS) to remove any residual detergents or protease inhibitors etc. After rinsing, remove all buffer solution and submit just the beads for MS analysis. You may store the beads, after removing buffer solution, at -80 C till you submit.
Other points to consider:
- Use magnetic beads. This format is very useful to remove the final wash buffer almost completely before freezing the beads.
- Use antibody coupled beads, if available.
- If you believe that the final wash with a simple buffer might disrupt your interactome, please discuss with the Lab Manager about the buffer compatibility.
Please discuss with the Laboratory Director and Manager before preparing the samples.
- Use appropriate inhibitors, when available, for sample preparation in order to make sure that the sample is enriched for PTM of interest (ex. phosphtase or proteosome inhbitors).
- As a general rule, PRF will require higher quantities of protein in appropriate buffers for PTM analysis.
Please contact us at 734-615-5722 or [email protected] to discuss your project before preparing samples.
Turnaround time is generally two weeks, but it can vary depending on the complexity and nature of the analyses proposed.
Publications
View more publications where the Proteomics Resource Facility has been cited.
| Authors | Year | Publication |
| Schon SB, Yang K, Schindler R, Jiang L, Neff LM, Seeley RJ, Marsh EE. | 2022 | Obesity-related alterations in protein expression in human follicular fluid from women undergoing in vitro fertilization. F S Sci. 2022. PMID: 36096447 |
| Geng X, Wang C, Gao X, Chowdhury P, Weiss J, Villegas JA, Saed B, Perera T, Hu Y, Reneau J, Sverdlov M, Wolfe A, Brown N, Harms P, Bailey NG, Inamdar K, Hristov AC, Tejasvi T, Montes J, Barrionuevo C, Taxa L, Casavilca S, de Pádua Covas Lage JLA, Culler HF, Pereira J, Runge JS, Qin T, Tsoi LC, Hong HS, Zhang L, Lyssiotis CA, Ohe R, Toubai T, Zevallos-Morales A, Murga-Zamalloa C, Wilcox RA | 2022 | GATA-3 is a proto-oncogene in T-cell lymphoproliferative neoplasms. Blood Cancer J. 2022. PMID: 36329027 |
| Bhattacharya A, Wei J, Song W, Gao B, Tian C, Wu SA, Wang J, Chen L, Fang D, Qi L. | 2022 | Sel1L-HRD1 ER-associated degradation suppresses hepatocyte hyperproliferation and liver cancer. iScience 2022:25(10). PMID: 36238898 |
| Kathania M, Kumar R, Lenou ET, Basrur V, Theiss AL, Chernoff J, Venuprasad K. | 2022 | Pak2-mediated phosphorylation promotes ROR_t ubiquitination and inhibits colonic inflammation. Cell Rep. 2022 40(11):111345. doi: 10.1016/j.celrep.2022.111345. PMID: 36103814 |
| Wright SE, Rodriguez CM, Monroe J, Xing J, Krans A, Flores BN, Barsur V, Ivanova MI, Koutmou KS, Barmada SJ, Todd PI. | 2022 | CGG repeats trigger translational frameshifts that generate aggregation-prone chimeric proteins. Nucleic Acids Res. 2022, 50(15):8674-8689. PMID: 35904811 |
| Yang J, Chang Y, Tien JC, Wang Z, Zhou Y, Zhang P, Huang W, Vo J, Apel IJ, Wang C, Zeng VZ, Cheng Y, Li S, Wang GX, Chinnaiyan AM, Ding K. | 2022 | Discovery of a Highly Potent and Selective Dual PROTAC Degrader of CDK12 and CDK13. J Med Chem. 2022 Aug 25;65(16):11066-11083. doi: 10.1021/acs.jmedchem.2c00384. Epub 2022 Aug 8. PMID: 35938508 |
| Abbineni PS, Tang VT, da Veiga Leprevost F, Basrur V, Xiang J, Nesvizhskii AI, Ginsburg D. | 2022 | Identification of secreted proteins by comparison of protein abundance in conditioned media and cell lysates. Anal. Biochem. 2022. PMID: 35973625 |
| Hotta T, McAlear TS, Yue Y, Higaki T, Haynes SE, Nesvizhskii AI, Sept D, Verhey KJ, Bechstedt S, Ohi R. | 2022 | EML2-S constitutes a new class of proteins that recognizes and regulates the dynamics of tyrosinated microtubules. Curr Biol. 2022 Aug 6:S0960-9822(22)01128-9. PMID: 35963242 |
| Herber I, Zedan D, McClintock S, Varani J, Aslam MN. | 2022 | Liver proteomic profile in mice on a high-fat diet: Modulation with anti-tumor intervention. FASEB J. 2022. PMID: 35556832 |
| Cerqueira FM, Photenhauer AL, Doden HL, Brown AN, Abdel-Hamid AM, Morais S, Bayer EA, Wawrzak Z, Cann I, Ridlon JM, Hopkins J, Koropatkin NM. | 2022 | Sas20 is a highly flexible starch-binding protein in the Ruminococcus bromii cell-surface amylosome. J. Biol. Chem. 2022. PMID: 35378131 |
Acknowledgment of Contributions
Publications containing data generated by the BRCF Proteomics Resource Facility (PRF) should acknowledge the PRF and, where appropriate, include PRF members as coauthors.
These acknowledgments and authorship help demonstrate the PRF’s contributions to the research community, support future funding for maintaining a robust core facility, and promote the professional development of its staff.
Please include the PRF Research Resource Identifier (RRID: SCR_026723) in publications that use PRF services.
Suggested acknowledgment:
“Proteomic analyses were conducted with technical support from the Proteomics Resource Facility (RRID: SCR_026723) at the University of Michigan.”
The Association of Biomolecular Resource Facilities (ABRF) has published guidelines for determining when core facility staff contributions warrant acknowledgment or coauthorship.
Facilities & Resources Template Language for Grant Applications
The BRCF Proteomics Resource Facility (PRF) occupies 1,650 sq. ft. of space in the University of Michigan Medical Science Research Building II (MSRB II) on the medical campus. The facility provides protein identification from multiple sample types, including Coomassie- and silver-stained gels, shotgun proteomic analysis of complex mixtures, identification and characterization of post-translational modifications, and quantitative proteomic profiling using label-free and isotope-labeling approaches, including stable isotope labeling by amino acids in cell culture (SILAC) and Tandem Mass Tags (TMT).
Mass spectrometry data are processed and analyzed using a variety of software platforms, including Proteome Discoverer, FragPipe/MSFragger, and PEAKS X. Data quality evaluation, basic statistical analysis, and data visualization can also be provided as part of PRF services. Additional or advanced bioinformatics support is available through collaboration with the core’s faculty director’s group, depending on the scope and requirements of the project.
Analysis and short-term data storage are performed using dedicated high-performance computing resources within the facility.
Our Leadership
Alexey I. Nesvizhskii, Ph.D.
Professor, Department of Pathology
Professor, Department of Computational Medicine & Bioinformatics
Venkatesha Basrur, Ph.D.
Research Associate Scientist
Department of Pathology
Our Team
Yanlong Ji, Ph.D.
Areas of Expertise:
- Proteomics Data Analysis
- Advanced LC–MS/MS Method Development
Kevin Conlon
Areas of Expertise:
- Sample Processing & Workflows
- Machine Maintenance
Questions?
Contact Us
1150 West Medical Center Drive
Ann Arbor, MI 48109
About Us
Upcoming Research Events
10x Genomics Office Hours
Cryopreservation and Assisted Reproduction: Cost-effective methods for model management & sharing
Navigating the Promotion Cycle for Clinical Research Coordinator -Senior, -Lead, and -Project Manager Titles
Spatial Multiomics Seminar
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