Abstract: The present disclosure relates generally to the analysis of immune checkpoint proteins involved in cancer. In particular, the present disclosure provides material and methods for determining abundance ratios of various immune checkpoint proteins (e.g., PD-1, PD-L1, and PD-L2) present in a biospecimen sample based on quantification of peak area using mass spectrometry analysis. The methods disclosed herein provide an alternative platform for diagnosing and treating cancer, especially in cases limited by ineffective antibody recognition.

Abstract: Provided are methods for measuring the amount of a target protein in a heterogeneous multicellular biospecimen having two or more cell types.

Abstract: Provided are methods for measuring the amount of a target protein in a heterogeneous biospecimen having multiple cell types.

Abstract: The present disclosure relates generally to the analysis of immune checkpoint proteins involved in cancer. In particular, the present disclosure provides material and methods for determining abundance ratios of various immune checkpoint proteins (e.g., PD-1, PD-L1, and PD-L2) present in a biospecimen sample based on quantification of peak area using mass spectrometry analysis. The methods disclosed herein provide an alternative platform for diagnosing and treating cancer, especially in cases limited by ineffective antibody recognition.

Abstract: A method, system, and computer program product for mining mass spectral data to detect chemical-specific characteristic features in large databases and/or files, including specifying spectral characteristics of mass spectra to mine, specifying a relationship between the spectral characteristics, searching the mass spectra for portions of the mass spectra which match the spectral characteristics based on the relationship, and assigning scores to the portions of mass spectra to indicate a degree of correlation between the portions of mass spectra and the spectral characteristics. Exemplary embodiments encompass a user specification of the spectral characteristics and their relationships used to mine the mass spectral data, automated specification of the spectral characteristics and their relationships used to mine the data, and real-time data mining wherein the mass spectrometer is adjusted based on the result.

Abstract: A method of detecting peptide fragments of protein(s) that are differentially present in biological samples. The identity of the peptides may be determined and correlated with the protein(s) that are differentially present in the samples.

Abstract: A method, system, and computer program product for mining mass spectral data to detect chemical-specific characteristic features in large databases and/or files, including specifying spectral characteristics of mass spectra to mine, specifying a relationship between the spectral characteristics, searching the mass spectra for portions of the mass spectra which match the spectral characteristics based on the relationship, and assigning scores to the portions of mass spectra to indicate a degree of correlation between the portions of mass spectra and the spectral characteristics. Exemplary embodiments encompass a user specification of the spectral characteristics and their relationships used to mine the mass spectral data, automated specification of the spectral characteristics and their relationships used to mine the data, and real-time data mining wherein the mass spectrometer is adjusted based on the result.