| Academic Year |
2026Year |
School/Graduate School |
School of Science |
| Lecture Code |
HX573300 |
Subject Classification |
Specialized Education |
| Subject Name |
生物科学特別講義（逆遺伝学的アプローチによる新規分子制御機構の探索） |
Subject Name
（Katakana） |
セイブツカガクトクベツコウギ（ギャクイデンガクテキアプローチニヨルシンキブンシセイギョキコウノタンサク） |
Subject Name in
English |
Special Lectures in Biological Science(Reverse-genetic approach to discover new molecular regulatory mechanisms) |
| Instructor |
To be announced.,CHIHARA TAKAHIRO |
Instructor
(Katakana) |
タントウキョウインミテイ,チハラ タカヒロ |
| Campus |
Higashi-Hiroshima |
Semester/Term |
3rd-Year, First Semester, 2Term |
| Days, Periods, and Classrooms |
(2T) Inte |
| Lesson Style |
Lecture |
Lesson Style
(More Details) |
Face-to-face |
Lecture
PowerPoint will be used. |
| Credits |
1.0 |
Class Hours/Week |
|
Language of Instruction |
J
:
Japanese |
| Course Level |
3
:
Undergraduate High-Intermediate
|
| Course Area（Area） |
26
:
Biological and Life Sciences |
| Course Area（Discipline） |
04
:
Life Sciences |
| Eligible Students |
|
| Keywords |
noncoding RNA, intrinsically disordered protein, reverse genetics, generative AI |
| Special Subject for Teacher Education |
|
Special Subject |
|
Class Status
within Educational
Program
(Applicable only to targeted subjects for undergraduate students) | |
|---|
Criterion referenced
Evaluation
(Applicable only to targeted subjects for undergraduate students) | |
|---|
Class Objectives
/Class Outline |
Students will learn basic strategies for (1) discovering molecular mechanisms from observed phenomena and (2) understanding biological phenomena starting from newly identified genes, and will acquire the ability to use generative AI to analyze gene products and design research plans. |
| Class Schedule |
Lesson 1: Identification of axon guidance molecules
Lesson 2: Identification of humoral factors that induce tissue morphogenesis
Lesson 3: Methods for characterizing gene products (1): sequence analysis
Lesson 4: Methods for characterizing gene products (2): structural analysis
Lesson 5: Using generative AI to obtain information on the properties of gene products
Lesson 6: Designing experimental plans using generative AI
Lesson 7: Molecular regulation by noncoding RNAs
Lesson 8: Molecular regulation by intrinsically disordered proteins |
Text/Reference
Books,etc. |
Molecular Biology of the Cell |
PC or AV used in
Class,etc. |
Handouts, moodle |
| (More Details) |
We will also conduct exercises using generative AI, so please bring your own PC. |
| Learning techniques to be incorporated |
|
Suggestions on
Preparation and
Review |
Ability to understand molecular biology is required. |
| Requirements |
|
| Grading Method |
The grade will be evaluated by the attendance rate (70%) and reports (30%). |
| Practical Experience |
|
| Summary of Practical Experience and Class Contents based on it |
|
| Message |
In classical molecular biology, the standard approach is to begin with an observed biological phenomenon and then elucidate the underlying molecular mechanisms that control it. In recent years, however, advances in reverse genetics have made it possible to take the opposite route: starting from genes of unknown function and uncovering previously unrecognized regulatory mechanisms and biological phenomena.In this course, students will learn these fundamental research strategies in molecular biology and, in addition, will gain hands-on experience with how rapidly advancing generative AI can be used to extract useful information from genes of unknown function. |
| Other |
|
Please fill in the class improvement questionnaire which is carried out on all classes.
Instructors will reflect on your feedback and utilize the information for improving their teaching. |