Dynamic Proteome Profiling of Neonatal Hair Shaft Using DEEP SEQ Method

doi:10.7503/cjcu20240326

Abstract

Abstract:

This article utilizes the deep efficient peptide sequencing and quantification proteomics method in conjunction with isobaric tags for relative and absolute quantitation to perform differential proteomic analysis of proteins in naturally shed hair samples collected at 24， 48， 72 and 96 h after birth in newborns. Among the four hair samples collected within 96 h after birth， a total of 1735 proteins were identified， with a large number of proteins showing dynamic changes in expression， involving embryonic development， energy metabolism， and neural pathways. These findings indicate that hair samples， as a novel clinical specimen， can reflect the early and drastic physiological and molecular changes in newborns， providing new insights for non-invasive diagnosis and early disease screening in newborns.

Key words: Neonatal hair shaft, Newborn screening, Proteomics, Mass spectrometry

CLC Number:

O657

TrendMD:

HU Yuhong, YU Xiangming, SONG Lili, XING Qinghe, ZHOU Feng. Dynamic Proteome Profiling of Neonatal Hair Shaft Using DEEP SEQ Method[J]. Chem. J. Chinese Universities, 2024, 45(11): 20240326.

Figures/Tables 4

References 18

1	Shi Y. Y.， Int. J. Pediatr.， 2020， 47（4）， 293
	石永言. 国际儿科学杂志， 2020， 47（4）， 293
2	Widness J. A.， NeoReviews， 2008， 9（11）， e520—e525
3	Carroll P. D.， Widness J. A.， Semin Perinatol， 2012， 36（4）， 232—243
4	Evans B. E.， Beijers R.， Hagquist C.， de Weerth C.， Psychoneuroendocrinology， 2019， 102， 53—57
5	Gao W.， Penz M.， Wekenborg M.， Walther A.， Kirschbaum C.， Psychoneuroendocrinology， 2019， 106， 129—137
6	Zhou F.， Lu Y.， Ficarro S. B.， Adelmant G.， Jiang W.， Luckey C. J.， Marto J. A.， Nat. Commun.， 2013， 4（1）， 2171
7	Qeli E.， Ahrens C. H.， Nat. Biotechnol.， 2010， 28（7）， 647—650
8	Yu B.， Zhang T.， Xia P.， Gong X.， Qiu X.， Huang J.， Int. J. Mol. Med.， 2018， 41（1）， 381—390
9	Houldsworth A.， Brain Commun.， 2024， 6（1）， fcad356
10	Manczak M.， Reddy P. H.， Hum. Mol. Genet.， 2012， 21（23）， 5131—5146
11	Jin S. C.， Lewis S. A.， Bakhtiari S.， Zeng X.， Sierant M. C.， Shetty S.， Nordlie S. M.， Elie A.， Corbett M. A.， Norton B. Y.， van Eyk C. L.， Haider S.， Guida B. S.， Magee H.， Liu J.， Pastore S.， Vincent J. B.， Brunstrom⁃Hernandez J.， Papavasileiou A.， Fahey M. C.， Berry J. G.， Harper K.， Zhou C.， Zhang J.， Zhao B.， Li H.， Heim J.， Webber D. L.， Frank M. S. B.， Xia L.， Xu Y.， Zhu D.， Zhang B.， Sheth A. H.， Knight J. R.， Castaldi C.， Tikhonova I. R.， López⁃Giráldez F.， Keren B.， Whalen S.， Buratti J.， Doummar D.， Cho M.， Retterer K.， Millan F.， Wang Y.， Waugh J. L.， Rodan L.， Cohen J. S.， Fatemi A.， Lin A. E.， Phillips J. P.， Feyma T.， MacLennan S. C.， Vaughan S.， Crompton K. E.， Reid S. M.， Reddihough D. S.， Shang Q.， Gao C.， Novak I.， Badawi N.， Wilson Y. A.， McIntyre S. J.， Mane S. M.， Wang X.， Amor D. J.， Zarnescu D. C.， Lu Q.， Xing Q.， Zhu C.， Bilguvar K.， Padilla⁃Lopez S.， Lifton R. P.， Gecz J.， MacLennan A. H.， Kruer M. C.， Nat. Genet.， 2020， 52（10）， 1046—1056
12	Ulivieri C.， Savino M. T.， Luccarini I.， Fanigliulo E.， Aldinucci A.， Bonechi E.， Benagiano M.， Ortensi B.， Pelicci G.， D’Elios M. M.， Ballerini C.， Baldari C. T.， J. Immunol.， 2016， 197（2）， 480—490
13	Lv Y.， Sun Y.， Wang G. Y.， Yin J.， Li C. J.， Luo Y. Y.， Luan Z. L.， Psychiatry Investig.， 2020， 17（9）， 934—940
14	Greenbaum L.， Lerer B.， Mol. Psychiatry， 2009， 14（10）， 912—945
15	Vaishnavi S. N.， Vlassenko A. G.， Rundle M. M.， Snyder A. Z.， Mintun M. A.， Raichle M. E.， Proc. Nat. Acad. Sci.， 2010， 107（41）， 17757—17762
16	Bas⁃Orth C.， Tan Y. W.， Lau D.， Bading H.， J. Biological Chem.， 2017， 292（13）， 5183—5194
17	Myers M. G.， Olson D. P.， Nature， 2012， 491（7424）， 357—363
18	Libro R.， Bramanti P.， Mazzon E.， Life Sci.， 2016， 158， 78—88

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