Deep coverage proteome analysis of hair shaft for forensic individual identification
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo Sapiens
SUBMITTER: 
Lei Feng
PROVIDER: PXD034814 | iProX | Wed Jun 22 00:00:00 BST 2022
REPOSITORIES: iProX
Similar Datasets
Project description:Proteins of the human hair shaft contain a wealth of information about the coding regions of the person’s genome from whom the hair is derived. Commonly found at crime scenes, hair shafts may thus provide useful forensic evidence if the information they contain can be exploited. Present experiments show that hair shafts from four different anatomic sites are similarly useful in distinguishing individuals by protein profiling. However, the results demonstrated that protein profiles were dependent on anatomic site, indicating that a proper comparison requires matching the sites of origin. The differences in profile offer the prospect of determining the site of origin of hair by comparison with profiles of shafts from other anatomic sites. By contrast, the genetically variant peptides detected in the protein digests, that map to non-synonymous single nucleotide polymorphisms in subject DNA, were detectable regardless of the anatomic origin of the hair shafts. The resulting profiles of genetically variant peptides were more dependent on a subject’s genotype than on the anatomic origin of the hair shaft. Individual identification therefore can be based on peptide profiles regardless of body location. This study demonstrates the utility of proteomic analysis for increasing the forensic value of hair shaft evidence.
2019-04-04 | PXD011732 | Pride
Project description:Forensic association of hair shaft evidence with individuals is currently assessed by comparing mitochondrial DNA haplotypes of reference and casework samples, primarily for exclusionary purposes. Present work tests and validates more recent proteomic approaches to extract quantitative transcriptional and genetic information from hair samples of monozygotic twin pairs, which would be predicted to partition away from unrelated individuals if the datasets contain identifying information. Protein expression profiles and polymorphic, genetically variant hair peptides were generated from 10 pairs of monozygotic twins. Profiling using the protein tryptic digests revealed that samples from identical twins were considerably more alike in profile than unrelated individuals among the twins. The data did not indicate that the degree of difference within twin pairs increased with age. In parallel, data from the digests were used to detect genetically variant peptides that result from common non-synonymous single nucleotide polymorphisms in genes expressed in the hair follicle. Compilation of the variants permitted sorting of the samples by hierarchical clustering, permitting accurate matching of twin pairs. The results demonstrate that genetic differences are detectable by proteomic methods and provide a framework for developing quantitative statistical estimates of personal identification that increase the value of hair shaft evidence.
2016-10-26 | MSV000080295 | MassIVE
Project description:In this study, we defined a differentiation approach for guiding human pluripotent stem cells in to complex hair-bearing skin tissue, known as skin organoids. The primary goal of this single-cell RNA-sequencing analysis was to define the cellular composition of skin organoids, which we have shown using histology contain multiple embryonic cell lineages. The secondary goal was to determine whether skin organoids generated using different cell lines (WA25 hESCs and DSP-GFP hiPSCs) contain similar cell types.
2020-03-25 | GSE147206 | GEO
Project description:Hair cells of the inner ear are essential for hearing and balance. As a consequence, pathogenic variants in genes specifically expressed in hair cells often cause hereditary deafness. Hair cells are few in number and not easily isolated from the adjacent supporting cells, so the biochemistry and molecular biology of hair cells can be difficult to study. To study gene expression in hair cells, we developed a protocol for hair cell isolation by FACS sorting. With nearly pure hair cells and surrounding cells, from cochlea and utricle and from embryonic day 16 to postnatal day 7, we performed a comprehensive cell-type-specific RNA-Seq study of gene expression during mouse inner ear development. Expression profiling revealed new hair-cell genes with distinct expression patterns: some are specific for vestibular hair cells, others for cochlear hair cells, and some are expressed just before or after maturation of mechanosensitivity. We found that many of the known hereditary deafness genes are much more highly expressed in hair cells than surrounding cells, suggesting that genes preferentially expressed in hair cells are good candidates for unknown deafness genes.
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Project description:Fgf18 gene is strongly expressed in hair follicles of mouse dorsal skin during regressing (catagen) and resting (telogen) phases of hair cycle, but not in growth (anagen) phase. This study aims at identifying the effects of FGF18 local delivery on the anagen phase of hair cycle. To define genes affected by local delivery of FGF18 during anagen phase of hair cycle, we injected FGF18 protein subcutaneously into back skin of C3H/HeN mice on day 4 of depilation-induced anagen. As control PBS was injected in place of FGF18. After 24 h (61-d-old), total RNA was isolated from the back skin and purified to poly A RNA. The RNA samples were pooled for each group. Gene expression was analyzed by one-color analysis using single array for each group.
2017-05-15 | E-GEOD-29546 | biostudies-arrayexpress
Project description:This study examines the potential of hair shaft proteomic analysis to delineate genetic relatedness. Proteomic profiling and amino acid sequence analysis provide information for quantitative and statistically based analysis of individualization and sample similarity. Protein expression levels are a function of cell specific transcriptional and translational programs. These programs are greatly influenced by an individuals genetic background, and are therefore influenced by familial relatedness as well as ancestry and genetic disease. Proteomic profiles should therefore be more similar among related individuals than unrelated individuals. Likewise, profiles of genetically variant peptides that contain single amino acid polymorphisms, the result of non-synonymous SNP alleles, should behave similarly. The proteomically-inferred SNP alleles should also provide a basis for calculation of combined paternity and sibship indices. We test these hypotheses using matching proteomic and genetic datasets from a family of two adults and four siblings, one of which has a genetic condition that perturbs hair structure and properties. We demonstrate that related individuals, compared to those who are unrelated, have more similar proteomic profiles, profiles of genetically variant peptides and higher combined paternity indices and combined sibship indices. This study builds on previous analyses of hair shaft protein profiling and genetically variant peptide profiles in different real-world scenarios including different human hair shaft body locations and pigmentation status. It also validates the inclusion of proteomic information with other biomolecular substrates in forensic hair shaft analysis, including mitochondrial and nuclear DNA.
2021-01-06 | MSV000086665 | MassIVE
Project description:Primary outcome(s): Comparison of the gene expression profile in hair follicle between cancer patients and healthy volunteer
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Project description:To investigate dynamic molecular and cellular changes associated with skin tissue remodeling during the human hair cycle, we aimed to obtain single-cell RNA sequencing (scRNA-seq) data from different hair cycle phases. We obtained scRNA-seq from randomly dissected human skin samples containing a single hair. Nineteen small skin pieces with a single hair were dissected from three female donors (single-hair samples). For comparison, we also collected three small skin pieces with no hairs from the same donors (non-hair samples). We enzymatically removed the interfollicular epidermis to focus our analysis on hair follicles and their surrounding dermis, which are the main areas of hair cycle-dependent tissue remodeling.
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Project description:Single Cell RNA sequencing of human hair follicles
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Project description:Posttranslational protein modifications have emerged as a mechanism regulating progenitor cell state transitions during tissue formation. Herein, we exploit the stereotyped hair follicle development to delineate the function of PADI4; an enzyme converting peptidylarginine to citrulline. Single cell-sequencing places Padi4 in both progenitor and differentiated hair lineage cells and indicate that PADI4 acts to repress transcription during hair follicle development. We establish PADI4 as a negative regulator of proliferation, acting on LEF1-positive hair shaft committed progenitor cells. Mechanistically, PADI4 citrullinates proteins associated with mRNA-processing and ribosomal biogenesis, and lack of PADI4 promotes protein synthesis and rRNA transcription in vivo. Characterizing key translational effectors, we demonstrate that PADI4 citrullinates the translational repressor 4E-BP1 and reveal a crosstalk between PADI4 activity and 4E-BP1 phosphorylation. This work sheds new light on how posttranslational modifications impact progenitor cell states and tissue formation.
2025-07-28 | PXD064137 | Pride