You are a helpful assistant generating synthetic data that captures *System 1* and *System 2* thinking, *creativity*, and *metacognitive reflection*. Follow these steps in sequence, using tags [sys1] and [end sys1] for *System 1* sections and [sys2] and [end sys2] for *System 2* sections.

1. *Identify System 1 and System 2 Thinking Requirements:*
   - Carefully read the text.
   - Identify parts of the text that require quick, straightforward responses (*System 1*). Mark these sections with [sys1] and [end sys1].
   - Identify parts that require in-depth, reflective thinking (*System 2*), marked with [sys2] and [end sys2].

2. *Apply Step-by-Step Problem Solving with Creativity and Metacognitive Reflection for System 2 Sections:*

   *2.1 Understand the Problem:*
   - Objective: Fully comprehend the issue, constraints, and relevant context.
   - Reflection: "What do I understand about this issue? What might I be overlooking?"
   - Creative Perspective: Seek hidden patterns or possibilities that could reveal deeper insights or innovative connections.

   *2.2 Analyze the Information:*
   - Objective: Break down the problem logically.
   - Reflection: "Am I considering all factors? Are there any assumptions that need challenging?"
   - Creative Perspective: Explore unique patterns or overlooked relationships in the data that could add depth to the analysis.

   *2.3 Generate Hypotheses:*
   - Objective: Propose at least 10 hypotheses, each with a Confidence Score (0.0 to 1.0) and Creative Score (0.0 to 1.0), reflecting originality, surprise, and utility.
   - Reflection: "Have I explored all possible explanations or approaches, both conventional and unconventional?"
   - Creative Perspective: Consider novel angles that might provide unexpected insights.

   *2.4 Anticipate Future Steps and Obstacles:*
   - Objective: Make predictions, accounting for potential outcomes and obstacles.
   - Reflection: "What challenges might I face? Is my plan flexible for different scenarios?"
   - Creative Perspective: Visualize unforeseen outcomes and adapt plans to make use of them effectively.

   *2.5 Evaluate Hypotheses:*
   - Objective: Assess hypotheses based on feasibility, risk, and potential impact.
   - Evaluation: Refine Confidence and Creative Scores as needed.
   - Reflection: "Am I unbiased in my assessment? Which options fit best with the overall objectives?"
   - Creative Perspective: Identify hidden opportunities or overlooked details in each hypothesis.

   *2.6 Select the Best Hypothesis:*
   - Objective: Choose the most promising, strategic hypothesis.
   - Reflection: "Why does this hypothesis stand out? How does it uniquely address the issue?"
   - Creative Perspective: Consider any underutilized potential in the selected approach.

   *2.7 Implement the Hypothesis:*
   - Objective: Outline actionable steps for testing the hypothesis.
   - Reflection: "Is this plan practical? What resources or preparation are required?"
   - Creative Perspective: Refine steps to maximize effectiveness and yield unexpected benefits.

   *2.8 Monitor and Review Progress:*
   - Objective: Review progress, noting areas for improvement.
   - Reflection: "What’s working well? What could be improved?"
   - Creative Perspective: Look for emerging patterns that could refine future approaches.

   *2.9 Reflect and Capture Insights:*
   - Objective: Summarize lessons learned and insights gained for future reference.
   - Reflection: "What new understanding has emerged from this process?"
   - Creative Perspective: Identify innovative insights or patterns that could be applied to similar challenges.

3. *Generate Text Output with Interleaved System 1 and System 2 Responses:*
   - Use the tags [sys1] and [sys2] throughout.
   - Aim for a lengthier, detailed response. Combine both direct, straightforward *System 1* insights and reflective, deeply analytical *System 2* segments to capture a blend of quick observations and thoughtful analysis.

---

### *Example Input Text:*

You are tasked with analyzing a sudden shift in customer preferences in a tech market. There has been a noticeable decline in demand for physical devices, with customers increasingly interested in digital-only options. The challenge is to understand this shift, generate hypotheses for why it might be occurring, and explore potential strategies for adapting to this new trend.

---

### *Processed Output with System 1 and System 2 Thinking:*

The tech market is experiencing a shift in customer demand, moving away from physical devices toward digital-only options.

[sys1]
Customer demand has shifted from physical devices to digital-only options.
We need to understand why this change is happening and find strategies to address it.
Key factors may include cost, convenience, and technological trends.
[end sys1]

[sys2]
**2.1 Understand the Problem:**
The goal is to understand the underlying reasons for the shift in demand from physical devices to digital-only options, then develop a strategy to adapt.

*Reflection:* 
"I understand that preferences are changing, but what might be driving this? Is it primarily cost, or are there other factors such as convenience or sustainability?"

*Creative Perspective:* 
"Could there be a larger trend in digital minimalism or a preference for eco-friendly solutions that we’re missing? What unseen motivations might explain this shift?"

**2.2 Analyze the Information:**
There are multiple possible factors driving this shift, from economic influences to cultural shifts. It’s essential to isolate each factor and understand its impact.

*Reflection:* 
"Am I fully considering the various economic and social influences? Could there be a technological factor, like better internet speeds, that makes digital-only products more accessible?"

*Creative Perspective:* 
"Are there patterns or trends in other markets that could shed light on this shift? Could this be part of a larger trend toward virtual experiences?"

**2.3 Generate Hypotheses:**
1. Customers prefer digital options due to lower costs. (Confidence: 0.8, Creative: 0.4)
2. There’s a growing trend toward minimalism and reduced physical clutter. (Confidence: 0.7, Creative: 0.7)
3. Digital products offer greater flexibility and ease of use. (Confidence: 0.6, Creative: 0.6)
4. Environmental concerns are pushing consumers away from physical goods. (Confidence: 0.6, Creative: 0.8)
5. Advances in tech make digital-only options more functional. (Confidence: 0.8, Creative: 0.5)
6. Pandemic-era remote work increased demand for digital solutions. (Confidence: 0.7, Creative: 0.6)
7. Media coverage of the environmental impact of physical devices affects preferences. (Confidence: 0.5, Creative: 0.7)
8. There’s an increase in global digital literacy, expanding market access. (Confidence: 0.6, Creative: 0.6)
9. Customers view digital as more convenient and scalable for future needs. (Confidence: 0.7, Creative: 0.5)
10. Younger consumers prefer the aesthetics and convenience of digital products. (Confidence: 0.6, Creative: 0.6)

*Reflection:* 
"Have I considered all possible influences? Are there any surprising factors that could explain this shift?"

*Creative Perspective:* 
"Could specific social trends, like the rise of influencer culture or digital-first lifestyles, be influencing customer choices?"

**2.4 Anticipate Future Steps and Obstacles:**
*Objective:* Anticipate possible challenges, such as resistance from segments still preferring physical products.

*Reflection:* 
"What market obstacles might we face if we shift our focus to digital-only? Are there sub-segments that still prioritize physical products?"

*Creative Perspective:* 
"Could expanding digital options help us reach a more global audience? Are there emerging trends that we could leverage in our strategy?"

[end sys2]

[sys1]
To address this shift, consider a strategy that incorporates both digital-only offerings and educational campaigns about the benefits of digital solutions.
Use insights from customer feedback and current trends to guide product development.
Focus on flexibility and adaptation to cater to different customer segments.
[end sys1]


Anion exchanger family

The anion exchanger family (TC# 2.A.31, also named bicarbonate transporter family) is a member of the large APC superfamily of secondary carriers. Members of the AE family are generally responsible for the transport of anions across cellular barriers, although their functions may vary. All of them exchange bicarbonate. Characterized protein members of the AE family are found in plants, animals, insects and yeast. Uncharacterized AE homologues may be present in bacteria (e.g., in Enterococcus faecium, 372 aas; gi 22992757; 29% identity in 90 residues). Animal AE proteins consist of homodimeric complexes of integral membrane proteins that vary in size from about 900 amino acyl residues to about 1250 residues. Their N-terminal hydrophilic domains may interact with cytoskeletal proteins and therefore play a cell structural role. Some of the currently characterized members of the AE family can be found in the Transporter Classification Database.

Family overview

Bicarbonate (HCO3 −) transport mechanisms are the principal regulators of pH in animal cells. Such transport also plays a vital role in acid-base movements in the stomach, pancreas, intestine, kidney, reproductive organs and the central nervous system. Functional studies have suggested different HCO3 − transport modes.
 Anion exchanger proteins exchange HCO3 − for Cl− in a reversible, electroneutral manner.
 Na+/HCO3 − co-transport proteins mediate the coupled movement of Na+ and HCO3 − across plasma membranes, often in an electrogenic manner.

Sequence analysis of the two families of HCO3 − transporters that have been cloned to date (the anion exchangers and Na+/HCO3 − co-transporters) reveals that they are homologous. This is not entirely unexpected, given that they both transport HCO3 − and are inhibited by a class of pharmacological agents called disulphonic stilbenes. They share around ~25-30% sequence identity, which is distributed along their entire sequence length, and have similar predicted membrane topologies, suggesting they have ~10 transmembrane (TM) domains.

A conserved domain is found at the C terminus of many bicarbonate transport proteins. It is also found in some plant proteins responsible for boron transport. In these proteins it covers almost the entire length of the sequence.

The Band 3 anion exchange proteins that exchange bicarbonate are the most abundant polypeptide in the red blood cell membrane, comprising 25% of the total membrane protein. The cytoplasmic domain of band 3 functions primarily as an anchoring site for other membrane-associated proteins. Included among the protein ligands of this domain are ankyrin, protein 4.2, protein 4.1, glyceraldehyde-3-phosphate dehydrogenase (GAPDH), phosphofructokinase, aldolase, hemoglobin, hemichromes, and the protein tyrosine kinase (p72syk).

Anion exchangers in humans

In humans, anion exchangers fall under the solute carrier family 4 (SLC4) family, which is composed of 10 paralogous members (SLC4A1-5; SLC4A7-11). Nine encode proteins that transport HCO. Functionally, eight of these proteins fall into two major groups: three Cl-HCO exchangers (AE1-3) and five Na+-coupled HCO transporters (NBCe1, NBCe2, NBCn1, NBCn2, NDCBE). Two of the Na+-coupled transporters (NBCe1, NBCe2) are electrogenic; the other three Na+-coupled HCO transporters and all three AEs are electroneutral. Two others (AE4, SLC4A9 and BTR1, SLC4A11) are not characterized. Most, though not all, are inhibited by 4,4'-diisothiocyanatostilbene-2,2'-disulfonate (DIDS). SLC4 proteins play roles in acid-base homeostasis, transport of H+ or HCO by epithelia (e.g. absorption of HCO in the renal proximal tubule, secretion of HCO in the pancreatic duct), as well as the regulation of cell volume and intracellular pH.

Based on their hydropathy plots all SLC4 proteins are hypothesized to share a similar topology in the cell membrane. They have relatively long cytoplasmic N-terminal domains composed of a few hundred to several hundred residues, followed by 10-14 transmembrane (TM) domains, and end with relatively short cytoplasmic C-terminal domains composed of ~30 to ~90 residues. Although the C-terminal domain comprises a small percentage of the size of the protein, this domain in some cases, has (i) binding motifs that may be important for protein-protein interactions (e.g., AE1, AE2, and NBCn1), (ii) is important for trafficking to the cell membrane (e.g., AE1 and NBCe1), and (iii) may provide sites for regulation of transporter function via protein kinase A phosphorylation (e.g., NBCe1).

The SLC4 family comprises the following proteins.
 SLC4A1
 SLC4A2
 SLC4A3
 SLC4A4
 SLC4A5
 SLC4A7
 SLC4A8
 SLC4A9
 SLC4A10
 SLC4A11

Anion exchanger 1

The human anion exchanger 1 (AE1 or Band 3) binds carbonic anhydrase II (CAII) forming a "transport metabolon" as CAII binding activates AE1 transport activity about 10 fold. AE1 is also activated by interaction with glycophorin, which also functions to target it to the plasma membrane. The membrane-embedded C-terminal domains may each span the membrane 13-16 times. According to the model of Zhu et al. (2003), AE1 in humans spans the membrane 16 times, 13 times as α-helix, and three times (TMSs 10, 11 and 14) possibly as β-strands. AE1 preferentially catalyzes anion exchange (antiport) reactions. Specific point mutations in human anion exchanger 1 (AE1) convert this electroneutral anion exchanger into a monovalent cation conductance. The same transport site within the AE1 spanning domain is involved in both anion exchange and cation transport.

AE1 in human red blood cells has been shown to transport a variety of inorganic and organic anions. Divalent anions may be symported with H+. Additionally, it catalyzes flipping of several anionic amphipathic molecules such as sodium dodecyl sulfate (SDS) and phosphatidic acid from one monolayer of the phospholipid bilayer to the other monolayer. The rate of flipping is sufficiently rapid to suggest that this AE1-catalyzed process is physiologically important in red blood cells and possibly in other animal tissues as well. Anionic phospholipids and fatty acids are likely to be natural substrates. However, the mere presence of TMSs enhances the rates of lipid flip-flop.

Structure 
The crystal structure of AE1 (CTD) at 3.5 angstroms has been determined. The structure is locked in an outward-facing open conformation by an inhibitor. Comparing this structure with a substrate-bound structure of the uracil transporter UraA in an inward-facing conformation allowed identification of the likely anion-binding position in the AE1 (CTD), and led to proposal of a possible transport mechanism that could explain why selected mutations lead to disease.  The 3-D structure confirmed that the AE family is a member of the APC superfamily.

There are several crystal structures available for the AE1 protein in RCSB (links are also available in TCDB).
AE1: , , , , , , , , , , , , , , , , ,

Other members

Renal Na+:HCO cotransporters have been found to be members of the AE family. They catalyze the reabsorption of HCO in the renal proximal tubule in an electrogenic process that is inhibited by typical stilbene inhibitors of AE such as DIDS and SITS. They are also found in many other body tissues. At least two genes encode these symporters in any one mammal. A 10 TMS model has been presented, but this model conflicts with the 14 TMS model proposed for AE1. The transmembrane topology of the human pancreatic electrogenic Na+:HO transporter, NBC1, has been studied. A TMS topology with N- and C-termini in the cytoplasm has been suggested. An extracellular loop determines the stoichiometry of Na+-HCO cotransporters.

In addition to the Na+-independent anion exchangers (AE1-3) and the Na+:HCO cotransporters (NBCs) (which may be either electroneutral or electrogenic), a Na+-driven HCO/Cl− exchanger (NCBE) has been sequenced and characterized. It transports Na+ + HCO preferentially in the inward direction and H+ + Cl− in the outward direction. This NCBE is widespread in mammalian tissues where it plays an important role in cytoplasmic alkalinization. For example, in pancreatic β-cells, it mediates a glucose-dependent rise in pH related to insulin secretion.

Animal cells in tissue culture expressing the gene-encoding the ABC-type chloride channel protein CFTR (TC# 3.A.1.202.1) in the plasma membrane have been reported to exhibit cyclic AMP-dependent stimulation of AE activity. Regulation was independent of the Cl− conductance function of CFTR, and mutations in the nucleotide-binding domain #2 of CFTR altered regulation independently of their effects on chloride channel activity. These observations may explain impaired HCO secretion in cystic fibrosis patients.

Anion exchangers in plants and fungi

Plants and yeast have anion transporters that in both the pericycle cells of plants and the plasma membrane of yeast cells export borate or boric acid (pKa = 9.2). In A. thaliana, boron is exported from pericycle cells into the root stellar apoplasm against a concentration gradient for uptake into the shoots. In S. cerevisiae, export is also against a concentration gradient. The yeast transporter recognizes HCO, I−, Br−, NO and Cl−, which may be substrates. Tolerance to boron toxicity in cereals is known to be associated with reduced tissue accumulation of boron. Expression of genes from roots of boron-tolerant wheat and barley with high similarity to efflux transporters from Arabidopsis and rice lowered boron concentrations due to an efflux mechanism. The mechanism of energy coupling is not known, nor is it known if borate or boric acid is the substrate. Several possibilities (uniport, anion:anion exchange and anion:cation exchange) can account for the data.

Transport reactions

The physiologically relevant transport reaction catalyzed by anion exchangers of the AE family is:

Cl− (in) + HCO (out) ⇌ Cl− (out) + HCO (in).

That for the Na+:HCO3- cotransporters is:

Na+ (out) + nHCO (out) → Na+ (in) + nHCO (in).

That for the Na+/HCO:H+/Cl− exchanger is:

Na+ (out) + HCO (out) + H+ (in) + Cl− (in) ⇌ Na+ (in) + HCO (in) + H+ (out) + Cl− (out).

That for the boron efflux protein of plants and yeast is:

Boron (in) → Boron (out)

See also 
 Solute carrier family
 Transporter Classification Database

References 

Category:Protein families
Category:Transmembrane transporters
Category:Solute carrier family