Parmita Mishra Profile picture
Nov 25, 2024 8 tweets 4 min read Read on X
A friend asked me to explain DNA, RNA, and epigenetics. he said that others had tried before, but it didn’t click for him.

I happen to play the piano, so I gave him a simple, albeit imperfect, analogy.

After this analogy, he finally understood! Here’s the piano analogy.

🧵 Image
Imagine a piano with 30,000 keys. Each key represents a gene.

Nearly all of your somatic cells have the exact same piano—the same keys, the same genes. So why does a nerve cell look different from a cheek cell?

Because they’re playing different pieces on the identical pianos. Image
Image
The piano is just a set of keys! The music—the composition—is the result of playing specific keys in a particular sequence and rhythm.

Pressing a key to play a note is like expressing a gene to produce mRNA. Image
Playing a note multiple times => multiple mRNA molecules from that gene.

Within a cell, the pattern of mRNA expression changes over time, just like the notes change over time in a musical score.

At any given moment, a fraction of the keys are being played. Image
Epigenetics is like the way the piano is played.

Some keys are easy to press; others harder to reach or require more effort.

Some keys might be muted or locked in certain cells; impossible to play there but functional in others. some keys play indirectly when you press another. Image
Image
These differences to a key, like heavier key, muted key, hard to reach key, can be written on the keys themselves (for one cell). Here’s a register of various epigenetic changes in “keys”

As before, this register may change based on cell, type of cell, etc. Image
These performances are recorded into songs, much like proteins are synthesized based on mRNA templates.

Proteins are the final products—they have specific structures and functions, giving cells their unique characteristics.

The mRNA (the notes you play) might degrade quickly, but the proteins (the recorded songs) can remain in the cell as long as needed.Image
Image
So, even though every cell has the same “piano,” the diverse “music” played leads to different cell types and functions.

I hope this analogy makes DNA, RNA, and epigenetics clearer!

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More from @prmshra

Oct 15
I keep saying “drug discovery” but most of my audience does not understand what this means.

Here’s a thread I worked on over the past week trying to distil down drug discovery - and why it matters in the age of AI.

OPEN THE THREAD 🧵 Image
Drug discovery is how molecules become medicine.
A $180 billion guessing game where up to 97% of candidates fail in trials.

We can now predict protein folds (thanks to AlphaFold), but still cannot simulate what a drug actually does to a living cell in real time.
At its core, drug discovery asks one question:

=> What happens inside a cell when we “perturb” it? (drug it)

Traditional biology answers by destroying the cell to measure it.

Every assay is a snapshot. Every snapshot costs reagents, time, and lives. Image
Read 23 tweets
Sep 26
how do we know that people in the past had cancer and when did we even know what cancer was?

a word for cancer existed long before microscopes or pathology.

the history of cancer is far more exciting than we realize.

🧵
the idea is older than modern medicine. Hippocrates (400 BCE) used the word karkinos (crab) for tumors with “claw-like” spread. Galen (200 CE) expanded it. the word cancer is a translation of this lineage.
this existed across civilizations

in India, texts like Sushruta Samhita circa 600 BCE described “arbuda”: hard, immobile, enlarging masses that ulcerated and killed slowly. not called “cancer,” but the descriptions line up with malignancies.
Read 16 tweets
Jun 8
Biotech is a 1.55 trillion dollar industry, projected to grow to 3.88 trillion by 2030.

How is biotech incentivized to do all this up front investment to make new breakthroughs that lead to life saving treatments?

You finally get the answers today.
Biotech industry: thread. Image
Tech investors see quick iterations:

Build. Test. Pivot. Scale.

Biotech demands patience:

Experiment=>Fail=>Refine, then repeat: often over years.

Your challenge: Balancing investor impatience with biological patience.
Unlike software, biotech innovation directly translates to high-margin products (drugs).

Pharma margins (gross profit; 70%) dwarf general industry (gross profit: 40%%). Why?

Each approved drug solves life-or-death problems: high value, premium prices.Image
Read 29 tweets
Mar 13
responded in detail bcs grimes is awesome:

17th-century: coffeehouses emerge as epicenters of intellectual exchange.

discussions shape the scientific community. new physical locations mark societal shifts.

coffee houses…basically transformed science.

(1/ 🧵)
a lot of scientific discoveries can in some way be traced back to coffee or tea.

over coffee, scholars/scientists/thinkers could meet ANYONE with an interesting thought - other scientists, artists, random people.

it was kind of like the X app today, but IRL.
coffeehouses promoted

1. sobriety in a time of day drinking
2. stimulated focused intellectual discourse, unlike alehouses

collaborations and cross-discipline translation of ideas = SCIENCE.
Read 10 tweets
Dec 9, 2024
many requested a deep-dive on androgenetic alopecia—male pattern baldness

male pattern baldness/hair loss (MPB/MPHL) affects 30-50% of men by age 50.

let's talk about the biology, current treatments, and cutting-edge research on hair follicle (HF) regeneration. Image
MPB is a complex polygenic disorder

it is influenced by
-androgens (male sex hormones)
-aging
-environmental factors.

it causes progressive miniaturization of hair follicles in genetically susceptible areas of the scalp Image
under the influence of androgens like DHT, follicles go from producing robust “terminal” hairs to fine “vellus” hairs.

they spend more time resting, producing thinner hairs each cycle.

most people do not even notice they are losing hair until a majority of the hair is gone. Image
Read 30 tweets
Nov 27, 2024
In a surprising paper published in Nature, scientists accomplished what sounds impossible: using genes from a single-celled organism to create mouse stem cells, which eventually developed into a living, breathing mouse. Image
Animal multicellularity emerged ~700mn years ago.

The genes in this study—from choanoflagellates, ancient single-celled organisms—are somewhat of evolutionary relics.

They predate multicellular life and now appear to have played a foundational role in animal development. Image
Choanoflagellates don’t form stem cells, but they have versions of Sox and POU genes.

In animals, these same genes drive pluripotency—the ability of stem cells to turn into any cell type. Image
Read 11 tweets

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