Probing region-resolved heterogeneity of phosphoproteome in human lens by hybrid metal organic frameworks

Phosphorylation plays crucial parts in lenticular biological function.Getting knowledge of region-resolved phosphoproteome contributes to better comprehending the pathogenesis.Here,we prepared the hybrid metal organic frameworks(HMOFs)for probing the region-resolved heterogeneity of phosphoproteome in human lens.1334 phosphosites corresponding to 564 phosphoproteins,1160 phosphosites corresponding to 316 phosphoproteins and 517 phosphosites corresponding to 205 phosphoproteins were identified in capsule,cortex and nucleus,respectively,providing the relatively extensive distribution mapping of phosphorylation in human lens for the first time.The label-free quantification experiments and principal component analysis presented differential expression of phopshoproteins in three subregions.For instance,α-crystallin,β-crystallin and fibrillin-1 closely associated with cataract and Marfan syndrome showed disparate spatial distribution.The preferential phosphoproteins in capsule,cortex and nucleus were involved in cytoskeleton organization,metabolic process and lens development in camera-type eye,respectively.This work first provided a general overview of region-resolved phosphoproteome of human lens.

Diagnosis and subtype classification on serum peptide fingerprints by mesoporous polydopamine with built-in metal-organic framework

Crohn's disease(CD)as a big issue to public health needs an accurate diagnosis urgently that is the common challenge among internal diseases.Herein,we design a mesoporous polydopamine with builtin metal-organic frameworks(dubbed MMP-b-MOFs)to combine with high-throughput mass spectrometry to extract serum peptide fingerprints from CD and healthy controls(HC).Benefitting by the sizeexclusion and strong hydrophilicity of MMP-b-MOFs,the extracted peptide fingerprints present extremely high quality.CD and HC are explicitly discriminated with orthogonal partial least squares discriminant analysis(OPLS-DA),the corresponding area under the curve(AUC)value is 1.000.Moreover,eight peptides with clear identity are screened out and achieve the accurate diagnosis and subtype classification of CD,with all AUC values up to 1.000.Moreover,the unsupervised model is also established to precisely classify HC and CD based on these eight clearly identified peptides.This work brings great benefits for clinical detection especially internal medicine.