Advancing Rare Disease Drug Discovery Using Consistent, Defined Human Cells
App Note / Case Study
Published: February 13, 2026
Credit: iStock.
Rare diseases represent a significant global health challenge, collectively affecting more than 300 million people worldwide. While individually rare, the 7,000+ described conditions often lack therapeutic options due to the significant economic and regulatory hurdles inherent in traditional drug discovery.
To accelerate progress, researchers need reliable and scalable human cell systems that can accurately model patient-specific disease mechanisms in vitro.
This case study examines how deterministic cell programming technology provides the consistent, defined human neurons necessary to progress toward potential therapies for neurodevelopmental disorders.
Download this case study to discover:
- How programmed human cells enable rapid preclinical screening for rare genetic conditions
- The limitations of traditional differentiation and how to achieve more reliable disease modeling
- The role of consistent human neuronal models in validating the efficacy of antisense oligonucleotide treatments
Advancing rare
disease drug discovery
using consistent,
defined human cells
bit.bio case study
Rodney A. Bowling Jr, PhD,
Founder and Chief
Scientific Officer,
To Cure A Rose
How To Cure a Rose used ioGABAergic
Neurons to progress towards a
potential ASO therapy for an ultra-rare
neurodevelopmental disorder.
bit.bio case study Elise Malavasi, Ph.D, Principal Scientist, Concept Life Sciences Overview
In 2016, rockstar frontman Casey McPherson
and his wife welcomed their second daughter
(Rose) into the world with the hope and
wonder that washes over new parents.
That same year, scientists would describe
for the first time a rare neurodevelopmental
condition stemming from mutations in the
HNRNPH2 gene1
. To date, little more than 50
individuals have been diagnosed with this
ultra-rare condition since its discovery2
. In
2019, Rose McPherson would become one of
those unlucky few.
According to the World Health Organisation,
a rare disease is defined as one that affects
fewer than 1 in 2000 people3
. Though each
of the 7,000+ described conditions in this
category are individually rare, they are, as
a group, common, affecting more than 300
million people worldwide3
. Despite their
prevalence, few if any therapeutic options
are available to patients, due in part to the
significant economic and regulatory hurdles
that slow drug development efforts in this
space.
Faced with the dire reality of Rose’s situation,
the McPhersons set out on a journey to find
a cure, one that would ultimately lead them
to form the non-profit organisation To Cure
A Rose. The organisation took the unusual
step of building a comprehensive laboratory,
one that is designed to enable rapid preclinical development of therapeutics for rare
diseases. Beginning with a focus on disease
characterisation, the team searches for
genetic drivers of each patient’s pathology
and uses this information to build patientinspired models for multi-modal therapeutic
screening. Just three years after its formation,
To Cure A Rose is nearing clinical trials with
two promising therapeutic candidates, each
targeting the defective HNRNPH2 gene that’s
responsible for Rose’s condition.
The laboratory’s success thus far has inspired
hope, not only for Rose’s family but for many
others affected by rare diseases. But to be
successful, the team has had to overcome
many challenges, one of which is the need for
reliable model systems that can be used in
drug screening. For this, they turned to bit.bio.
Rodney Bowling Jr, Ph.D,
Founder and Chief
Scientific Officer
To Cure A Rose
bit.bio case study bit.bio case study Rodney A. Bowlin Rodney A. Bowling Jr, PhD, Founder and Chief Scientific Officer, To Cure A Rose Founder and Chief Scientific Officer, To Cure A Rose
“The scientific enterprise that surrounds drug
development, both the basic disease research
and the pipeline itself, wasn’t built for rare
disease patients” explains Rodney A. Bowling
Jr, Founder and Chief Scientific Officer at To
Cure A Rose. “The system isn’t built for ‘N=1’
studies”.
The typical drug development pathway
is designed to maximise confidence in
therapeutic candidates before they reach
the market. With the prospect of treating
thousands to millions of patients, and the
potential costs of failure (both financial
and medical), drug sponsors must invest
in extensive evidence gathering during
preclinical stages to evaluate the risk-reward
of moving forward with any one candidate.
Such a process requires considerable time and
money, neither of which are common in the
rare-disease space4, 5
, 6
.
Instead, drug development in rare diseases
is often fueled by limited funding raised by
the families of affected individuals, many of
whom are racing against the clock to help
their loved ones.
According to Bowling Jr, “these families are
operating with a ‘Time Is Life’ urgency.
They don’t need to spend time making sure
this drug works for everyone, they just need
it to work for their child.”
Rather than building confidence in a
therapeutic’s market potential, preclinical
studies for rare diseases like Rose’s can be a
more focused affair, one that simply needs
to inspire reasonable confidence that the
therapeutic will work in a single patient.
In theory, this should free developers up
to streamline their studies and accelerate
progress towards the clinic, culminating in an
‘N=1’ trial to treat the affected patient7
.
However, the success of this approach hinges
on the research team’s ability to model key
aspects of each patient’s disease in vitro,
and to do so at the scale needed for rapid,
multimodal drug screening. It is then critical to
tailor preclinical studies to the patient.
“Every disease is different,” explained Bowling
Jr. “When you are studying a rare disease,
you really have to break it down and explore it
from the gene level back up to the cell line and
then extrapolate that to the patient.”
“Every disease is different.
When you are studying
a rare disease, you really
have to break it down and
explore it from the gene level
back up to the cell line and
then extrapolate that to the
patient.”
The challenges of rare
disease drug development
For Rose, however, step 2, ‘iPSC generation’
within the standard workflow had to be
adapted. Generating patient-derived
cell lines proved challenging, so the team
turned to commercially available
iPSC-derived cells from another donor.
bit.bio case study Rodney A. Bowling Jr, PhD, Founder and Chief Scientific Officer, To Cure A Rose
Though the exact workflow may vary on a patient-by-patient basis, the basic process at
To Cure A Rose aims to rapidly characterise the child’s disease, arm the families with resources
to help them fundraise, and quickly identify potential therapeutic options.
1. Patient cell collection & genetic analysis
Collect a cell line from the affected child.
If the causal mutation is unknown, perform
genomic and transcriptomic sequencing
2. iPSC generation
If possible, reprogram the patient’s cells
into induced pluripotent stem cells (iPSCs)
to supplement disease modeling
3. Assay development
Design a functional assay that reveals the
disease-related dysfunction
4. Therapeutic strategy & amenability study
Explore different therapeutic modalities—
such as ASOs, gene editing, or small
molecules—to identify potential ways to
correct the dysfunction. Compile this into
an “amenability study”: a document and
presentation that families can use to rally
funding and support
5. Parallel therapeutic development
Launch therapeutic development across
multiple modalities simultaneously,
operating with a “time is life” mindset.
For example, initiate both a smallmolecule repurposing screen and an ASO
development track for the same pathway
to maximise shots on goal
6. Mouse model development & controls
Order a custom mouse model early,
as it can take 18+ months to develop.
In parallel, generate isogenic CRISPRcorrected control cell lines for more
rigorous in vitro testing
7. Iterative testing & optimisation
Use multimodal testing to identify the
most promising intervention, whether an
approved drug for short-term relief or a
bespoke therapy for long-term correction
8. Advance into toxicology studies
Advance promising candidates into
relevant animal models to assess
toxicological profile
9. Assemble IND and move for a clinical trial
Present cumulative evidence to regulators
and apply for the initiation of clinical
trial(s)
To Cure A Rose’s rare
disease therapeutic
development workflow
Develop
science
team
Fund
natural
history
study*
Develop
cells and
toolbox
Create
animal
models
Develop
drug
designs
Testing
and clinical
trail
Treat
Rose!
TCAR PHASE 1
TCAR Foundation’s pathway to developing
genetic treatments quickly and sustainably
Modelling a Rose
Next-generation sequencing had shown that
Rose’s condition was driven by a missense
mutation in the HNRNPH2 gene. Among its
many roles, the protein product of this gene
is responsible for binding to RNA transcripts
in the nucleus, where it can guide trafficking
and splicing. Evidence suggests this protein is
critically involved in neuronal differentiation,
proliferation, and apoptosis. Rose’s mutation
disrupts the normal function of HNRNPH2, a
nuclear RNA-binding protein that plays a critical
role in pre-mRNA splicing.
In healthy cells, HNRNPH2 associates with
specific RNA transcripts and facilitates
their recruitment to the spliceosome, the
macromolecular complex responsible for
removing introns and generating mature
mRNA. However, Rose’s mutation alters
HNRNPH2’s ability to deliver its bound RNAs
to the spliceosome, preventing proper intron
removal. As a result, transcripts that depend
on HNRNPH2 remain incompletely spliced,
leading to widespread mRNA processing
defects and likely contributing to the neuronal
dysfunction observed in Rose’s condition.
Fortunately, previous studies have demonstrated
that the homologous HNRNPH1 (H1) protein
can compensate for the loss of HNRNPH2
(H2) expression2
. Notably, this compensation
does not occur when mutant forms of H2
are expressed. The team saw a potential
therapeutic angle in this: With small molecules,
ASOs, or gene therapies, they could prevent
mutant H2 expression in Rose’s cells, enabling
her natural compensation mechanisms to kick in
and begin overexpressing H1.
However, testing this theory proved tricky,
largely because Rose’s condition is hard to
model in vitro.
“Rose’s cells didn’t want to grow,” recalled
Bowling Jr. “They wouldn’t differentiate well,
which in retrospect is not surprising: She has a
neurodevelopmental condition, and so we had
trouble making neurons from her cells.”
Patient-derived cell lines are critical for rare
disease studies, but they are also limited in
significant ways. First, accessing a sufficient
number of patient cells for disease modelling
and drug screening may require invasive
procedures followed by several rounds of
proliferation in vitro, the latter becoming
difficult as differentiated cells tend to be nonproliferative. Alternatively, fibroblasts can be
collected from the patient and used to generate
induced pluripotent stem cells (iPSCs). In theory,
these patient-derived iPSCs can proliferate
indefinitely and be differentiated into any
desired cell type. In reality, however, methods
for differentiating iPSCs are challenging in their
complexity, time consuming, and result in
batch-to-batch inconsistencies8
, 9
.
Additionally, as was the case for Rose,
generating the affected cell type, neurons,
with patient-derived iPSCs may be impossible if
the child’s disease affects neurodevelopmental
pathways of iPSC differentiation. To study
Rose’s condition, the team was in need of
an alternative source of neurons that both
expressed HNRNPH2 and could be reliably
produced in large quantities for drug screening.
“We needed cells that gave us more control
and scale, something that is absolutely uniform
and consistent. We hoped we could get that
by ordering iPSC-derived cell lines from one
prominent vendor. Unfortunately, the cost was
quite high, and they wouldn’t collaborate with us
to identify the right neuronal cell line [one that
expresses H2]. In the end, we didn’t get enough
cells from them, customer service was very
poor, and the cells we did get didn’t express our
protein. That’s when we discovered bit.bio.”
“Rose’s cells didn’t want to
grow,” recalled Bowling Jr. “They
wouldn’t differentiate well, which
in retrospect is not surprising:
She has a neurodevelopmental
condition, and so we had trouble
making neurons from her cells.”
bit.bio case study Elise Malavasi, Ph.D, Principal Scientist, Concept Life Sciences “Right away, we could tell a difference with bit.bio.
They helped us identify the neuronal population
expressing H2; they worked with us to ensure we grew
these cells properly; and they helped customise our
sample size to ensure we had enough to carry out
screening. It was just incredible customer service.”
bit.bio case study bit.bio case study Rodney A. Bowlin Rodney A. Bowling Jr, PhD, Founder and Chief Scientific Officer, To Cure A Rose Founder and Chief Scientific Officer, To Cure A Rose
Solution:
ioGABAergic Neurons
bit.bio is a synthetic biology company
providing programmed human cells for
research and drug discovery.
The company applies its opti-ox™
deterministic programming technology,
a patented gene targeting strategy that
leverages genomic safe harbours, to inducibly
express genetic information in iPSCs. When
induced, the iPSCs rapidly, precisely and
consistently convert into highly defined
somatic cells. In contrast to the high variability
and heterogeneous output of commonly
used iPSC differentiation approaches, bit.bio’s
technology produces consistently uniform
populations of differentiated cells on a largescale, and the technology can be applied to
any cell type, including multiple neuronal cell
types.
“Right away, we could tell a difference with
bit.bio,” Bowling Jr reflected. “They helped us
identify the neuronal population expressing
H2; they worked with us to ensure we grew
these cells properly; and they helped customise
our sample size to ensure we had enough
to carry out screening. It was just incredible
customer service.”
Bowling Jr’s team had identified ASOs as the
modality of choice. Previous studies in animals
had suggested that knockdown of H2 with an
ASO would lead to increased, compensatory
H1 expression. Now they needed to confirm
this hypothesis in human neurons.
Starting with 55,000 ASO sequences and
chemistry options, the team computationally
honed it down to 57 distinct ASOs that
had promise and could advance into wet
lab screening10. Their goal was to assess
the therapeutic ability of the ASOs to both
knockdown H2 and prompt the increase in
H1 expression. To do this, they used bit.bio’s
human iPSC-derived GABAergic neurons.
“I called Neil at bit.bio (my
account manager) to look
through bit.bio’s extensive
catalogue of cells, specifically
at neurons, I needed a neuron,
as H2 is expressed highly
throughout the brain.”
explained Bowling Jr.
The value of
transparency
Are you using the right cells for your
experiment? It’s a simple question, but one
that can be frustratingly difficult to answer.
Immortalised cell lines change over time and
the quality of iPSC differentiation can vary
from lot to lot. Such variability can be costly:
Consider running a large-scale drug screen
only to discover that your drug target is not
expressed in your cell line.
To avoid this scenario, the To Cure A Rose
team needed help. They knew Rose’s
condition was affecting her central nervous
system and that H2 is highly expressed in
the brain. But it is not ubiquitous among cell
types. The team needed help identifying a
reliable source of neurons that express H2.
For this, they turned to bit.bio
“I called Neil at bit.bio [my account manager]
to look through bit.bio’s extensive catalogue
of cells, specifically at neurons,” explained
Bowling Jr. “I needed a neuron, as H2 is
expressed highly throughout the brain.”
bit.bio routinely generates a comprehensive
characterisation data package for its
cell types that includes representative
morphology images, protein expression
for key markers, bulk RNA sequencing,
among other datasets. From the bulk RNA
sequencing data, researchers who request
information on their specific genes of interest
will receive an easy to read gene expression
heatmap along with the associated
transcripts per million (TPM) values. This data
provides immediate insight, allowing scientists
like Bowling Jr to confirm the expression of
their target gene(s) and decide if this is the
right cell to commit to.
For Bowling Jr, this was essential. “[Within
days,] Neil reported back to me that H2 was
expressed in both ioGlutamatergic Neurons
and ioGABAergic Neurons.”
Learn more about our cell characterisation
data here
Gene expression heatmap for select genes of interest. TPM normalisation quantifies
transcript abundance by calculating how many of the specific transcript are detected
out of 1 million RNA molecules. This bulk RNA-sequencing data was generated using
cells from a continuous culture, without the cryopreservation and thawing steps. For
simplicity, the culture days on the heatmap are labelled with the equivalent days
in the cryopreserved ioGABAergic neurons. The iPSC control sample is from the
same parental line as the ioGABAergic Neurons, but has undergone no doxycycline
treatment. It is possible that minor variations will exist between this data of the
continuous culture and RNA sequencing data from the cryopreserved culture. In
addition to the genes of interest queried by the user, control genes are included
for reference: HMBS (low-expression housekeeping gene), MAP2 (high-expression
pan-neuronal marker), TUBB3 (high-expression pan-neuronal marker), and SLC32A1
(intermediate-expression GABAergic neuron-specific transporter).
No Center, No Scale
“bit.bio’s cells did what
they were supposed to
do and demonstrated the
effect of the ASOs. Having
access to an absolutely
uniform set of cells that do
what we need them to has
changed our workflow and
may greatly accelerate our
work.”
bit.bio case study Rodney A. Bowling Jr, PhD,
Founder and Chief Scientific Officer, To Cure A Rose
Screening of the 57 ASOs in GABAergic
neurons revealed 30 candidates with
desirable activity. A second screen further
narrowed this list down to just 7 ASOs, 4 of
which were capable of reducing H2
expression by at least 90% and 3 of which
also prompted increased H1 activity10.
In subsequent animal studies, the team
was able to reduce their focus to 2 of
the ASO candidates. Both show strong
activity and have thus far shown no signs
of toxicity, despite being administered in
concentrations 10-fold higher than would
be given to human patients.
“Functionally, we have an embarrassment
of riches now with two promising ASOs,”
emphasised Bowling Jr. The team is
currently working through toxicology
studies with both ASOs and hopes to enter
a clinical phase trial in the coming year,
one in which Rose can finally be treated for
her condition.
Results:
An embarrassment
of riches Since its founding, To Cure A Rose has begun
research on other neurological and muscular
rare diseases. bit.bio’s cells and supporting
expertise have now proven to be a valuable
tool that the To Cure A Rose team plans to
integrate across projects. According to Bowling
Jr, “physiologically, bit.bio’s cells did what
they were supposed to do and demonstrated
the effect of the ASOs. Having access to an
absolutely uniform set of cells that do what we
need them to has changed our workflow and
may greatly accelerate our work. Now, each
project starts with me going to bit.bio and
saying ‘hey, I need a neuron that expresses
X gene,’ and seeing what cells they have that
can help us blast through this quickly.”
The ASOs that Bowling Jr and his team have
thus far discovered inspire hope, for the
McPhersons as well as others suffering from
her condition.
“There are two other children with the same
mutation as Rose that we know of, but there
are children with similar mutations who,
functionally, have the same disease as Rose.
This agnostic H2 knockdown approach has
the potential to help all of those children as
well” hopes Bowling Jr.
Future Directions
1. Bain J, Cho MT, Telegrafi A, et al. Variants in
HNRNPH2 on the X Chromosome Are Associated
with a Neurodevelopmental Disorder in Females.
2016;99(3):728-734. doi:https://doi.org/10.1016/j.
ajhg.2016.06.028
2. Korff A, Yang X, O’Donovan K, et al. A murine model of
hnRNPH2-related neurodevelopmental disorder reveals
a mechanism for genetic compensation by Hnrnph1.
The Journal of clinical investigation/The journal of
clinical investigation. 2023;133(14). doi:https://doi.
org/10.1172/jci160309
3. The Lancet Global Health. The landscape for
rare diseases in 2024. The Lancet Global health.
2024;12(3):e341-e341. doi:https://doi.org/10.1016/s2214-
109x(24)00056-1
4. Wilton-Clark H, Yan E, Yokota T. Preparing for PatientCustomized N-of-1 Antisense Oligonucleotide Therapy
to Treat Rare Diseases. Genes. 2024;15(7):821-821.
doi:https://doi.org/10.3390/genes15070821
5. Kim-McManus O, Gleeson JG, Mignon L, et al.
A framework for N-of-1 trials of individualized genetargeted therapies for genetic diseases. Nature
Communications. 2024;15(1). doi:https://doi.org/10.1038/
s41467-024-54077-5
6. Hartnarft C. Preclinical Studies in Rare Disease Drug
Development. Journal of Pharmacological Reports.
2023;07(189). doi:https://doi.org/10.35248/JPR.23.7.189
7. Kim J, Hu C, Moufawad El Achkar C, et al. PatientCustomized Oligonucleotide Therapy for a Rare
Genetic Disease. New England Journal of Medicine.
2019;381(17):1644-1652. doi:https://doi.org/10.1056/
nejmoa1813279
8. Volpato V, Webber C. Addressing variability in iPSCderived models of human disease: guidelines to
promote reproducibility. Disease Models & Mechanisms.
2020;13(1):dmm042317. doi:https://doi.org/10.1242/
dmm.042317
9. Volpato V, Smith J, Sandor C, et al. Reproducibility of
Molecular Phenotypes after Long-Term Differentiation to
Human iPSC-Derived Neurons: A Multi-Site Omics Study.
Stem Cell Reports. 2018;11(4):897-911. doi:https://doi.
org/10.1016/j.stemcr.2018.08.013
10.Zhu H, Bowling R, Cabrera R, Banks C, Finnell R.
P147: Precision medicine approaches to treatment
for HNRNPH2 mutations*. Genetics in Medicine
Open. 2024;2:101044. doi:https://doi.org/10.1016/j.
gimo.2024.101044
Is your gene of interest
expressed?
Contact us today to
access gene expression
data for ioCells
* “io”, “io” and “opti-ox” are trade marks
owned and/or registered by Bit Bio Limited
References
About bit.bio
bit.bio is a synthetic biology
company focused on human cells,
advancing medicine and enabling
curative treatments. The company
does this by industrialising the
manufacture of human cells and
making them more accessible.
bit.bio combines the concepts of
cell programming and biology to
provide human cells for research,
drug discovery and cell therapy,
enabling a new generation of
medicines.
This is possible with our
deterministic cell programming
technology opti-ox*
– a gene
engineering approach that
enables unlimited batches of any
human cell to be manufactured
consistently at scale.
More information:
www.bit.bio
About To Cure A Rose
Foundation
To Cure A Rose is a patient-centred
rare disease research initiative
providing a preclinical proof-ofconcept lab for families.
Their mission is to accelerate
therapeutic development with
urgency and scientific rigor,
empowering patients with
data, intellectual property, and
personalised research programs.
The team takes a modality-agnostic
approach, exploring antisense
oligonucleotides (ASOs), gene
therapies, and small molecule
repurposing to maximise chances of
success. By developing cell lines and
disease models for each patient,
they enable personalised medicine at
the preclinical stage. Current projects
are focused on a range of rare
diseases affecting neurological and
muscular systems.
More information:
www.tocurearose.org
BB/CSGABARB/V1
Brought to you by
Download the Application Note for FREE Now!
Information you provide will be shared with the sponsors for this content. Technology Networks or its sponsors may contact you to offer you content or products based on your interest in this topic. You may opt-out at any time.
Experiencing issues viewing the form? Click here to access an alternate version