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As the name suggests, non-LTR retrotransposons lack the long terminal repeats characteristic of the LTR retrotransposons. Additionally, both LTR and non-LTR retrotransposons use distinct mechanisms of mobilization. Non-LTR retrotransposons are further divided into two classes - Long interspersed nuclear elements (LINEs) and short interspersed nuclear elements (SINEs), both of which occur abundantly in most mammals, including humans. Some of the active non-LTR retrotransposons in humans are L1...
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Isolation of High-density Lipoproteins for Non-coding Small RNA Quantification
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Human low-density lipoprotein receptor sequence analysis.

Marwah Ali Zghair1, Fadhil Jawad Al-Tuma2, Hassan Mahmoud Abu Al-Maali3

  • 1Department of Pharmaceutics, College of Pharmacy, University of Kerbala, Kerbala, Iraq.

JPMA. the Journal of the Pakistan Medical Association
|February 7, 2022
PubMed
Summary
This summary is machine-generated.

This study introduces a local low-density lipoprotein receptor (LDLR) sequence to GenBank, revealing evolutionary relationships and geographic associations. Findings suggest sequence similarity doesn't always imply identical function.

Keywords:
Low-density lipoprotein receptor, Sequencing, BLAST.

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Area of Science:

  • Genetics
  • Molecular Biology
  • Bioinformatics

Background:

  • The low-density lipoprotein receptor (LDLR) plays a crucial role in cholesterol metabolism.
  • Understanding the genetic diversity of LDLR is important for studying human health and evolution.
  • Limited data exists on local LDLR sequences in certain geographic regions.

Purpose of the Study:

  • To submit a novel local low-density lipoprotein receptor sequence to the GenBank database.
  • To analyze the evolutionary relationships of the local LDLR sequence.
  • To compare the local LDLR sequence with existing sequences in GenBank.

Main Methods:

  • DNA was extracted from blood samples of local subjects.
  • A specific 150bp region of the low-density lipoprotein gene was amplified using polymerase chain reaction (PCR).
  • Sequencing data was analyzed using basic local alignment search tool (BLAST) software to construct a phylogenetic tree.

Main Results:

  • The phylogenetic analysis revealed the evolutionary connections of the local LDLR sequence with human and other species.
  • The study identified geographic associations in the evolutionary patterns of the low-density lipoprotein receptor.
  • Sequence comparison indicated potential common genetic origins for similar LDLR sequences.

Conclusions:

  • The newly introduced local LDLR sequence provides valuable data for the GenBank database.
  • Evolutionary analysis highlights geographic influences on LDLR development.
  • Identified sequence similarities suggest shared ancestry but do not guarantee identical functional roles for the low-density lipoprotein receptor.