Professor Dr. Auinash Kalsotra

Professor

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Biography

Auinash Kalsotra is a prominent researcher in the field of biochemistry, particularly focusing on post-transcriptional gene regulation and its roles in tissue development, regeneration, and disease. His laboratory employs large-scale biochemical and genomic approaches to study the physiological functions regulating mRNA splicing, polyadenylation, and translation processes. A central theme of Kalsotra's research involves understanding RNA processing mechanisms and their integration with transcriptional, translational, and metabolic programs to ensure normal tissue growth and function. He also investigates the misregulation mechanisms that lead to various diseases, leveraging these insights to develop preventive strategies for specific human disorders. His work encompasses significant areas in cancer research, drug discovery, and metabolic disorders, underscoring the lab's commitment to uncovering the complex molecular mechanisms underlying these diseases.

Research Interests

Development Genetics Genomics Metabolic Regulation Protein-Nucleic Acid Interactions Gene Expression Regulation RNA Biology Cancer Drug Discovery Heart Disease Stroke Thrombosis Metabolic Disorders Diabetes Trauma Bleeding Tissue Regeneration

Experience

Phillip Sharp Endowed Professor

— Present

School of Molecular & Cellular Biology • Urbana, IL

Conducting research and teaching in the area of biochemistry.

Awards

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School of MCB Trainee Mentoring Excellence Award

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Chan-Zuckerberg Biohub Chicago Investigator

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Research Award

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William C. Rose Professorial Scholar

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Excellence in Teaching Recognition

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Distinguished Promotion Award

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Research Award

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Beckman Fellow

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Basil O’Connor Research Scholar

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Elected Member

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Young Investigator Award

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Scientist Development Grant

Courses

MCB 354

Requirements for University of Illinois

Master Program

Requirements

GPA Requirement
Required:3
IELTS
Listening
Required:7
Reading
Required:7
Writing
Required:7
Speaking
Required:7
Overall
Required:7.5
TOEFL
Listening
Required:17
Reading
Required:19
Writing
Required:21
Speaking
Required:20
Total
Required:103
GRE General

Prerequisites

Mathematical background Linear Algebra Calculus

Application Checklist

  • Online application
  • Unofficial transcripts
  • 3 Letters of Recommendation
  • Academic Statement of Purpose
  • Resume/CV

Specialization Notes

GRE is optional for admission to all graduate programs in Statistics. Full status admission requires higher language scores than limited status.