Course Identification

Gene expression profiling: a practical course for RNA library preparation ready for sequencing
20193392

Lecturers and Teaching Assistants

Dr. Diego Jaitin, Dr. Hadas Keren-Shaul
N/A

Course Schedule and Location

2019
Second Semester
March 31st-April 4th - 9:00-16:30 - FGS Lab ; 5/5, 10:00-13:00- room B, FGS, Lab
31/03/2019
27

Field of Study, Course Type and Credit Points

Life Sciences: Laboratory; 0.50 points
Life Sciences (Molecular and Cellular Neuroscience Track): Laboratory; Elective; 0.50 points
Life Sciences (Brain Sciences: Systems, Computational and Cognitive Neuroscience Track): Laboratory; Elective; 0.50 points
Life Sciences (Computational and Systems Biology Track): Laboratory; Elective; 0.50 points

Comments

N/A

Prerequisites

No

Restrictions

16

Language of Instruction

English

Registration by

13/03/2019

Attendance and participation

Obligatory

Grade Type

Pass / Fail

Grade Breakdown (in %)

100%

Evaluation Type

Laboratory

Scheduled date 1

N/A
N/A
-
N/A

Estimated Weekly Independent Workload (in hours)

3

Syllabus

Understanding biological systems using state-of-the-art genomics methods require, among other approaches, the gene expression profiling of different tissues, states, or conditions. RNA-seq is the method of choice to study gene expression with little background noise and a large dynamic range for detection of differentially expressed genes. This laboratory course will provide hands-on training on bulk MARS-seq, a method for digital gene expression analysis developed in Ido Amit lab at the Weizmann Institute. This protocol is designed for preparation of 3’ RNA sequencing libraries from low input RNA material in a simple, cost-effective fashion, due to early multiplexing of the samples. Libraries prepared in the course will be sequenced and analyzed.

During the course, we will also present and discuss key aspects of genomics research, the power of unbiased gene expression profiling and Next Generation Sequencing (NGS), as well as quality control evaluation of input material, libraries and sequenced samples.

Learning Outcomes

Upon successful completion of this course students should be able to:

  1. Demonstrate an understanding of the notion of NGS technologies
  2. Demonstrate knowledge of RNA-seq technologies in general, including input requirements 
  3. Demonstrate an understanding of molecular biology processes in the process of RNA-seq library preparation
  4. Generate RNA-seq libraries from limiting amounts of RNA, ready to be sequenced in any available Illumina sequencer.
  5. Demonstrate familiarity with data resulting from Illumina platforms

 

Reading List

N/A

Website

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