Publications by authors named "Filip Arman"

The complex dynamics of protein expression in plasma during hyperacute HIV-1 infection and its relation to acute retroviral syndrome, viral control, and disease progression are largely unknown. Here, we quantify 1293 blood plasma proteins from 157 longitudinally linked plasma samples collected before, during, and after hyperacute HIV-1 infection of 54 participants from four sub-Saharan African countries. Six distinct longitudinal expression profiles are identified, of which four demonstrate a consistent decrease in protein levels following HIV-1 infection.

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In human proteomics, substantial efforts are ongoing to leverage large collections of mass spectrometry (MS) fragment ion spectra into extensive spectral libraries (SL) as a resource for data independent acquisition (DIA) analysis. Currently, such initiatives in equine research are still missing. Here we present a large-scale equine SL, comprising 6394 canonical proteins and 89,329 unique peptides, based on data dependent acquisition analysis of 75 tissue and body fluid samples from horses.

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Cardiac arrest is a sudden cessation of heart function, leading to an abrupt loss of blood flow and oxygen to vital organs. This life-threatening emergency requires immediate medical intervention and can lead to severe neurological injury or death. Methods and biomarkers to predict neurological outcome are available but lack accuracy.

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Article Synopsis
  • The study aims to investigate serum proteome profiles of unconscious patients after out-of-hospital cardiac arrest to understand the biological effects of hypoxia-ischaemia and temperature management on neurological outcomes.
  • Researchers analyzed serum samples at 24, 48, and 72 hours post-cardiac arrest using mass spectrometry to identify protein changes linked to patient outcomes at a six-month follow-up.
  • Results showed that out of 78 patients, many had poor neurological outcomes, with specific proteins associated with either poor or good recovery, indicating potential paths for further research and therapy development.
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Cis2-His2 zinc finger (C2H2-ZF) proteins are the largest family of transcription factors in human and higher metazoans. To date, the DNA-binding preferences of many members of this family remain unknown. We have developed a computational method to predict their DNA-binding preferences.

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