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Related Concept Videos

Non-LTR Retrotransposons03:18

Non-LTR Retrotransposons

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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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Application of Laser Microdissection to Uncover Regional Transcriptomics in Human Kidney Tissue
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Application of Laser Microdissection to Uncover Regional Transcriptomics in Human Kidney Tissue

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Lupus nephritis transcriptomics across space and time.

Shaun W Jackson1, Charles E Alpers2

  • 1Seattle Children's Research Institute, Seattle, Washington, USA; Department of Pediatrics, University of Washington School of Medicine, Seattle, Washington, USA; Department of Laboratory Medicine and Pathology, University of Washington School of Medicine, Seattle, Washington, USA.

Kidney International
|September 23, 2022
PubMed
Summary
This summary is machine-generated.

Researchers analyzed kidney biopsies to understand why some lupus nephritis treatments fail. This could lead to better therapies for lupus kidney disease, improving patient outcomes.

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Area of Science:

  • Nephrology
  • Immunology
  • Genomics

Background:

  • Current immunosuppression treatments for lupus nephritis (LN) show limited efficacy.
  • This leads to poor long-term outcomes for patients with LN.
  • Understanding LN pathogenesis is crucial for developing targeted therapies.

Purpose of the Study:

  • To identify molecular pathways that differentiate treatment responders from nonresponders in lupus nephritis.
  • To analyze transcriptomic data from kidney biopsies to find potential therapeutic targets.

Main Methods:

  • Transcriptomic analysis was performed on kidney biopsies from lupus nephritis patients.
  • Biopsies were collected before and after treatment.
  • Samples were segregated into glomerular and tubulointerstitial compartments.

Main Results:

  • Distinct molecular pathways were identified between treatment responders and nonresponders.
  • Specific gene expression patterns may predict treatment response in lupus nephritis.
  • Glomerular and tubulointerstitial compartments show different molecular signatures.

Conclusions:

  • Transcriptomic analysis reveals key molecular differences in lupus nephritis treatment response.
  • Identifying these pathways can guide the development of more effective, targeted therapies for lupus nephritis.
  • This research provides a foundation for precision medicine approaches in managing lupus nephritis.