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Record W4232873098 · doi:10.32920/ryerson.14651943.v1

The characterization of cell surface receptor complexes by affinity chromatography, liquid chromatography and tandem mass spectrometry

2021· preprint· en· W4232873098 on OpenAlexaff
Jaimie Dufresne

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldMedicine
TopicMonoclonal and Polyclonal Antibodies Research
Canadian institutionsToronto Metropolitan University
FundersIntegrated BioBank of Luxembourg
KeywordsBiotinylationChemistryAffinity chromatographyChromatographyElutionLigand (biochemistry)StreptavidinMass spectrometryBiotinAgaroseReceptorBiochemistryEnzyme

Abstract

fetched live from OpenAlex

Cell surface receptors are of critical importance to the treatment of disease but are difficult to isolate and identify by classical approaches. Here, a robust and general method for capturing a receptor complex from the surface of live cells with ligands presented on nanoscopic beads is demonstrated. Two forms of affinity chromatography: the presentation of a biotinylated ligand to the surface of live cells and recovered by classical affinity chromatography was compared to the presentation of the ligand on the surface of nanoscopic chromatography beads for the isolation of the IgG-FcR complex from the surface of live cells. The IgG ligand was first characterized by LC-ESI-MS/MS and compared to controls by classical statistical methods in order to minimize the total error rate of protein identification. The first strategy was to isolate the IgG-FcR complex using biotinylated IgG (IgG-B) compared to IgG with a DTT-cleavable biotin spacer arm (IgG-SS-B) to activate and capture the receptor associated supramolecular complex. In this method, live cells were incubated on ice with IgG, IgG-B or IgG-S-S-B, for 30 minutes, washed and disrupted by French press. After washing, the IgG-B and IgG-S-S-B ligands were eluted from a streptavidin-agarose column in DTT followed by mercaptoethanol, 2M NH4OH and then 50mM biotin in 2 M NH4OH and the ligand remaining on the columns was scrubbed with 2% SDS or digested with trypsin. The analysis of the eluted fractions and SDS scrub by dot blots or Western blots with streptavidin-HRP (SA-HRP) or donkey anti human IgG-HRP (Dk anti-hIgG-HRP) probes agreed with liquid chromatography and tandem mass spectrometry (LC-ESI-MS/MS) of the tryptic peptides that IgG-B or IgG-S-S-B was non-specifically eluted by ammonium hydroxide buffer. LC-ESI-MS/MS of the DTT eluted fraction from the charged streptavidin column (agarose-SA-B-S-S-IgG) to release the S-IgG ligand showed detectable amounts of the S-IgG complex and minimal amounts of Fc and Fcrl proteins. Some of the known components of the Fc mediated phagocytic pathway were enriched in DDT and BME in the Biotin-S-S-IgG-FCGR compared to Biotin-IgG controls. Many variations of the classical ligand affinity chromatography method for the isolation of cell surface receptors were investigated including the use of detergents, heat aggregated ligands, the use of cross linkers and the capture of IgG over streptavidin or protein G chromatography. None of these methods specifically captured Fc receptors however the identified proteins were different from background binding controls. In the second strategy, IgG coated PMMA and melamine micro and glass nano beads were presented to live cells, homogenized by French pressing, isolated by ultracentrifugation and then extracted by a salt and acetonitrile step gradient. Laser confocal scanning microscopy, dot blots with Coomassie staining or Western blot all confirm the three nano and micro bead surfaces: silica, melamine and PMMA were coated in IgG and were able to bind RAW 264.7 macrophages. Fc receptors were identified in significant numbers in the silica nano treatments compared to controls as well as members of the FcR mediated phagocytic pathway with very little background binding. In contrast to the strategy of classical affinity chromatography applied to integral membrane receptors, the use of ligand coated micro, and as shown here for the first time, silica nano beads, was effective at binding and capturing a receptor from the surface of a live cell and may serve as a general method for isolating receptor complexes on the nano scale.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.003

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.017
GPT teacher head0.270
Teacher spread0.254 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2021
Admission routes1
Has abstractyes

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